Embed Size (px)
Citation preview
Abraham, F.D. & Gilgen, A.R. (1995) Chaos Theory in Psychology. Greenwood Press.
Abraham, F.D. (1992) Chaos, bifurcations, and self-organization: dynamical extension of neurological
positivism and ecological psychology. Psychoscience, 1, 85-118.
ActiveMedia (2005) ActiveMedia Robotics website, http://www.mobilerobots.com/
Aczel, P. (1987). Lectures in nonwellfounded sets. CSLI.
Aczel, P. (1988) Non-Well-Founded Sets. Volume 14 of Lecture Notes, CSLI Publications, Standford,
CA, 1988.
Adamatzky, A. (2001) Chemistry of belief: Experiments with doxastic solutions. Kybernetes, 30, 1199-
1208.
Adamatzky, A. (2001a) Space-time dynamic of normalized doxatons: automata models of pathological
collective mentality. Chaos, Solitons & Fractals, 12, 1229 - 1256.
Adamatzky, A. (2001b) Pathology of collective doxa. Automata models. Applied Math.Comput., 112,
195-228.
Adamatzky, A. (2001c) Computing in Nonlinear Media and Automata Collectives. Bristol and
Philadelphia: Institute of Physics Publishing.
Adamatzky, A. (2001c). Computing in Nonlinear Media and Automata Collectives. Bristol and
Philadelphia: Institute of Physics Publishing.
Adamatzky, A. (2002) On dynamics of affective liquids, Dynamical Psychology.
Adamatzky, A. (2003) Affectons: automata models of emotional interactions. Applied Math. Comput.,
146(2), 579-594.
Adamatzky, A. (2003) On patterns in affective media. Int. J. Modern Physics C, 14(5).
Adamatzky, A. (2004) Nonlinear Dynamics of Crowded Minds, in preparation.
Adamatzky, A., Affectons: automata models of emotional interactions. Applied Mathematical
Computation, 146(2), 579-594, 2003.
Adams, J.L., Conceptual Blockbusting, Freeman, 1972.
Adeli, Hojjat and Hung, Shih-Lin Machine Learning: Neural Networks, Genetic Algorithms and Fuzzy
Systems, Wiley: Chichester, 1995
Adorni, G. Cagnoni, S. Carletti, M. Mordonini, M. (2002) Omnidirectional vision algorithms in robotics.
Atti dell'VIII Convegno AI*IA.
Agha, G. (1986). Actors. Cambridge, MA: MIT Press.
Agre, P. and D. Chapman. PENGI: An implementation of a theory of activity. In Proceedings of the Sixth
National Conference on Artificial Intelligence (AAAI-87), pages 268-272, Seattle, WA, 1987
Agre, P. and D. Chapman. PENGI: An implementation of a theory of activity. In Proceedings of the Sixth
National Conference on Artificial Intelligence (AAAI-87), pages 268-272, Seattle, WA, 1987
Ainsworth, M. D. S. (1989). Attachments beyond infancy. American Psychologist, 44, 709-716.
Albert, S. and Bradley, K. Managing Knowledge Experts, Agencies and Organisations, ISBN:
0521561507, Cambridge University Press, 1997.
Albus, J. S. (1997). The NIST real-time control system (RCS): an approach to intelligent systems
research.
Journal of Experimental & Theoretical Artificial Intelligence, 9(2/3):147-156.
Albus, J. S. (1997). The NIST real-time control system (RCS): an approach to intelligent systems
research. Journal of Experimental & Theoretical Artificial Intelligence, 9(2/3):147-156.
Albus, J.S. (1992) “A Reference Model Architecture for Intelligent Systems Design”. In P. J. Antsaklis
and K. M. Passino An Introduction to Intelligent and Autonomous Control, Kluwer Academic
Publishers: Boston, MA, 57—64.
Albus, J.S. (1992) “A Reference Model Architecture for Intelligent Systems Design”. In P. J. Antsaklis
and K. M. Passino An Introduction to Intelligent and Autonomous Control, Kluwer Academic
Publishers: Boston, MA, 57—64.
Aleksander, I and Morton, H. An Introduction to Neural Computing (Second Edition), Thomson Computer
Press, 1995.
Aleksander, I. (1996). Impossible Minds My Neurons My Consciousness. London: Imperial College Press.
Alexander, I. (1997) Impossible Minds: My Neurons, My Consciousness. World Scientific.
Alexander, I. (1997). Impossible Minds: My Neurons, My Consciousness. World Scientific Publishing.
Allen, J. F. (1998). AI growing up -- the changes and opportunities. AI Magazine, 19 (4), 13--23.
Allen, J. J. 1995. Natural Language Understanding. Redwood City CA: Benjamin/Cummings; Benjamin;
Cummings.
Alonso, E., D. Kazakov, D. Kudenko. Adaptive Agents and, Multi-Agent Systems. LNAI Hot Topics
2636, ISBN 3-540-40068-0. 2003.
Altenberg, L. (1994). The Evolution of Evolvability in Genetic Programming. In Kenneth E.K. (ed.)
Advances in Genetic Programming. Cambridge, MA: MIT Press, 47-74.
Altenberg, L. (1995). Genome growth and the evolution of the genotype-phenotype map. In Banzhaf, W.
& Eeckman, F.H. (eds.) Evolution as a Computational Process. Berlin: Springer-verlag, 205-259.
Anderson, J. R. & Lebiere, C. (1998). The atomic components of thought. Mahwah, NJ: Erlbaum.
Anderson, J. R. (1983). The Architecture of Cognition. Cambridge, MA: Harvard University Press.
Anderson, J. R. (1993). Rules of the Mind. Lawrence Erlbaum Associates, Hillsdale, NJ.
Anderson, J. R. (1996) ACT: A Simple Theory of Complex Cognition. American Psychologist, 51(4),
355-365
Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its
relation to visual attention. Human Computer Interaction, 12(4), 439-462.
Anderson, J.A & Rosenfeld, E. (Eds), (1988), Talking Nets : An Oral History of Neural Networks, MIT
Press; ISBN: 0262011670.
Anderson, J.R. (2002) ACT-R. [Online]. http://act-r.psy.cmu.edu/. [Accessed 6th June 2002].
Anderson, M. L. (2003a). Embodied cognition: A filed guide. Artificial Intelligence, 149 (1), 91--130.
Anderson, M. L. (2003b). Representations, symbols, and embodiment. Artificial Intelligence, 149 (1),
151--156.
Andronache, V. and Scheutz, M. (2002) “Contention Scheduling: A Viable Action-Selection Mechanism
for Robotics?”. In Proceedings of the Thirteenth Midwest AI and Cognitive Science Conference,
AAAI Press, 122–129.
Andronache, V. and Scheutz, M. (2003a) “Growing Agents - An Investigation of Architectural
Mechanisms for the Specification of 'Developing' Agent Architectures”. In Proceedings of
FLAIRS2003, AAAI Press, 22-26.
Andronache, V. and Scheutz, M. (2003b) “APOC - a Framework for Complex Agents”. In Proceedings of
AAAI Spring Symposium 2003, Standford, AAAI Press, 18-25.
Andronache, V. and Scheutz, M. (under review). “ADE - An Architecture Development Environment for
Virtual and Robotic Agents”.
Angle, C. 1989. Ghengis, a six legged autonomous walking robot. Undergraduate thesis, dpt of EE and
CS, MIT.
Anwar, A., and S. Franklin. to appear. Sparse Distributed Memory for "Conscious" Software Agents.
Cognitive Systems Research.
Anwar, A., D. Dasgupta, and S. Franklin; 1999. Using Genetic Algorithms for Sparse Distributed Memory
Initialization. International Conference Genetic and Evolutionary Computation(GECCO). July 6-9,
1999.
Arkin, R. C. ( 1989) “Motor Schema-Based Mobile Robot Navigation”. International Journal of Robotic
Research, Vol. 8, No. 4, 92-112.
Arkin, R. C. (1998). Behavior-Based Robotics. MIT Press, Cambridge, MA.
Arkin, R.C. (2005) Moving Up the Food Chain: Motivation and Emotion in Behavior-based Robots, in
Who Needs Emotions: The Brain Meets the Robot, Eds. J. Fellous and M. Arbib, Oxford University
Press, 2005.
Aronson, E. (1996). The social animal. (Seventh edition). New York: W. H. Freeman.
ArziGonczarowski, Z. (1998). Wisely non rational -- a categorical view of emotional cognitive artificial
perceptions. In D. Ca”namero (Ed.), Papers from the 1998 aaai fall symposium: Emotional and
intelligent: The tangled knot of cognition (pp. 7--12). Orlando, Florida.
ArziGonczarowski, Z. (1999a). Categorical tools for perceptive design: Formalizing the artificial inner
eye. In J. S. Gero & M. L. Maher (Eds.), Computational models of creative design iv (pp. 321--354).
University of Sydney, Australia: Key Centre of Design Computing and Cognition.
ArziGonczarowski, Z. (1999b). Perceive this as that analogies, artificial perception, and category theory.
Annals of Mathematics and Artificial Intelligence, 26 (14), 215--252.
ArziGonczarowski, Z. (2000). A categorization of autonomous action tendencies: The mathematics of
emotions. In Cybernetics and systems 2000 (Vol. 2, pp. 683--688). Austrian Society for Cybernetic
Studies, Vienna.
ArziGonczarowski, Z. (2001a). Perceptions that perceive themselves -- a mathematical schema. IJCAS:
International Journal of Computing Anticipatory Systems, 8, 33--51. (Invited paper)
ArziGonczarowski, Z. (2001b). Self, empath, manipulativity: Mathematical connections between higher
order perception, emotions, and social cognition. In D. Ca”namero (Ed.), Papers from the 2001 aaai
fall symposium: Emotional and intelligent ii -- the tangled knot of social cognition (pp. 9--14). Cape
Cod, North Falmouth, Massachusetts.
ArziGonczarowski, Z. (2002). Ai emotions: Will one know them when one sees them? In Cybernetics and
systems 2002 (Vol. 2, pp. 739--744). Austrian Society for Cybernetic Studies, Vienna.
ArziGonczarowski, Z. (2003). Computational synthesis: Following the treaded mathematical track. In H.
Lipson, E. K. Antonsson, & J. R. Koza (Eds.), Papers from the 2003 aaai spring sym posium on
computational synthesis: From basic building blocks to high level functionality (pp. 26--33). Stanford,
California.
ArziGonczarowski, Z., & Lehmann, D. (1998a). From environments to representations--a mathematical
theory of artificial perceptions. Artificial Intelligence, 102 (2), 187--247.
ArziGonczarowski, Z., & Lehmann, D. (1998b). Introducing the mathematical category of artificial
perceptions. Annals of Mathematics and Artificial Intelligence, 23 (3,4), 267--298.
Asaad, W. F., Rainer, G., and Miller, E. K. (2000). Task-specific neural activity in the primate prefrontal
cortex. Journal of Neurophysiology, 84:451-459.
Asperti, A., & Longo, G. (1991). Categories, types, and structures. MIT Press.
Atkeson, C. G., Moore, A. W., and Schaal, S. (1997). Locally weighted learning for control.
Artificial Intelligence Review, 11:75-113.
Aubé, M. & Senteni, A. (1995, December). A foundation for commitments as resource management in
multi-agents systems. In T. Finin & J. Mayfield, (Eds.), Proceedings of the CIKM Workshop on
Intelligent Information Agents. Baltimore, Maryland.
Aubé, M. & Senteni, A. (1996a). Emotions as commitments operators: A foundation for control structure
in multi-agents systems. In W. Van de Velde & J. W. Perram, (Eds.), Agents breaking away,
Proceedings of the 7th European Workshop on MAAMAW, Lecture Notes on Artificial Intelligence,
No. 1038, (pp. 13-25). Berlin: Springer.
Aubé, M. & Senteni, A. (1996b). What are emotions for? Commitments management and regulation
within animals/animats encounters. In P. Maes, M. Mataric, J.-A. Meyer, J. Pollack, & S. W. Wilson,
(Eds.), From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation
of Adaptive Behavior (pp. 264-271). Cambridge, MA: The MIT Press/Bradford Books.
Aubé, M. (1997). Toward computational models of motivation: A much needed foundation for social
sciences and education. Journal of Artificial Intelligence in Education, 8(1), 43-75.
Aubé, M. (1998). A commitment theory of emotions. In D. Canamero (Ed.) Emotional and Intelligent:
The tangled knot of cognition. Papers from the 1998 AAAI Fall Symposium (pp. 13-18). Menlo Park,
California: AAAI Press.
Aubé, M. (2001). From Toda’s urge theory to the commitment theory of emotions. Grounding emotions in
adaptive systems, Special issue of Cybernetics and Systems: An International Journal, 32(6), 585-610.
Aubé, M., Beyond needs: Emotions and the commitments requirement. In: Davis, D.N. editor, Visions of
Mind: Architectures for Cognition and Affect, Idea Group Inc., Hershey, PA, USA, 2004.
Austin, J. L. (1962). How to do things with words. Cambridge: Harvard University Press.
Averill, J. R. (1979). Anger. In H. E. Howe & R. A. Dienstbier (Eds.), Nebraska Symposium on
Motivation 1978: Vol. 26 (pp. 1-80). Lincoln: University of Nebraska Press.
Averill, J. R. (1983). Studies on anger and agression. Implications for theories of emotion. American
Psychologist, 38, 1145-1160.
Awad, E.M., Building Expert Systems: Principle, Procedures, And Approaches, West Publishing, 1996
Axelrod, R. (1984). The evolution of cooperation. New York: Basic Books.
Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and
Collaboration. Princeton University Press.
Axelrod, R. The Complexity of Co-operation: Agent-Based Models of Competition and Collaboration,
Princeton University Press, 1997.
Baars, B. J. 2002. The conscious access hypothesis: origins and recent evidence. Trends in Cognitive
Science 6:47-52.
Baars, B. J., and S. Franklin. 2003. How conscious experience and working memory interact. Trends in
Cognitive Science 7:166-172.
Baars, B.J. (1993). Why volition is a foundation problem for psychology. Consciousness and Cognition, 2
(4) pp.281–309.
Baars, B. J. (1997) In the Theater of Consciousness. Oxford: Oxford University Press.
Baars, B. J. 1988. A Cognitive Theory of Consciousness. Cambridge: Cambridge University Press.
Baars, B. J. 1997. In the Theater of Consciousness. Oxford: Oxford University Press.
Baars, B. J., In the Theater of Consciousness. Oxford: Oxford University Press, 1997.
Baddeley, A. D. 1993. Working memory and conscious awareness. In Theories of memory, ed. A. Collins,
S. Gathercole, M. A. Conway, and P. Morris. Howe: Erlbaum.
Ballono#, P. (2000). On the evolution of selfawareness. In Cybernetics and systems 2000 (Vol. 1, pp. 347-
-352). Austrian Society for Cybernetic Studies, Vienna.
Barkow, J. H., Cosmides, L. & Tooby, J. (1992). The adapted mind: Evolutionary psychology and the
generation of culture. Oxford: Oxford University Press.
Barnden, J.A. & Lee, M.G. (2001). Understanding open-ended usages of familiar conceptual metaphors:
An approach and artificial intelligence system. Technical Report CSRP–01–05, School of Computer
Science, The University of Birmingham, U.K.
Barnden, J.A. (1997). Consciousness and common-sense metaphors of mind. In S. O’Nuallain, P.
McKevitt & E. Mac Aogain (Eds), Two Sciences of Mind: Readings in Cognitive Science And
Consciousness, pp.311–340. Amsterdam/Philadelphia: John Benjamins.
Barnden, J.A. (1998). Combining uncertain belief reasoning and uncertain metaphor-based reasoning. In
Procs. Twentieth Annual Meeting of the Cognitive Science Society, pp.114–119. Mahwah, N.J.:
Lawrence Erlbaum.
Barnden, J.A. (2001a). Uncertainty and conflict handling in the ATT-Meta context-based system for
metaphorical reasoning. In V. Akman, P. Bouquet, R. Thomason & R.A. Young (Eds), Procs. Third
International Conference on Modeling and Using Context, pp.15–29. Lecture Notes in Artificial
Intelligence, Vol. 2116. Berlin: Springer.
Barnden, J.A. (2001b). Application of the ATT-Meta metaphor-understanding approach to selected
examples from Goatly. Technical Report CSRP–01–01, School of Computer Science, The University
of Birmingham, U.K.
Barnden, J.A., Glasbey, S.R. & Wallington, A.M. (in press). Metaphor and truth from an artificial
intelligence standpoint. To appear in A. Burkhardt & B. Nerlich (Eds), Reflections on Tropical Truth:
Studies on the Epistemology of Metaphor. Berlin: Mouton de Gruyter.
Barnden, J.A., Glasbey, S.R., Lee, M.G. & Wallington, A.M. (in press). Varieties and directions of inter-
domain influence in metaphor. Metaphor and Symbol.
Barnden, J.A., Helmreich, S., Iverson, E. & Stein, G.C. (1994). An integrated implementation of
simulative, uncertain and metaphorical reasoning about mental states. In J. Doyle, E. Sandewall & P.
Torasso (Eds), Principles of Knowledge Representation and Reasoning: Proceedings of the Fourth
International Conference, pp.27–38. San Mateo, CA: Morgan Kaufmann.
BaronCohen, S. (1995). Mindblindness. MIT Bradford.
Barr, A & Feigenbaum, E.A., The Handbook of Artificial Intelligence Volume One, Kaufmann, 1981.
Barr, M., & Wells, C. (1995). Category theory for computing science. Prentice Hall.
Barsalou, L. W. 1999. Perceptual symbol systems. Behavioral and Brain Sciences 22:577–609.
Bartlett, F. (1932). Remembering. Cambridge University Press.
Bartsch, K. and Wellman, H. Young children’s attribution of action to beliefs and desires. Child
Development, 60, 946-964, 1989.
Bartsch, K. Wellman, H. (1989) Young Children’s Attribution of Action to Beliefs and Desires. Child
Development, 60, 946-964.
Barwise, J. and Moss, L. (1996) Vicious Circles. CLSI Publications, Stanford, CA.
Barwise, J. and Moss, L. (1996) Vicious Circles. CLSI Publications, Stanford, CA.
Barwise, J., & Etchemendy, J. (1987). The liar. Oxford University Press.
Barwise, J., & Moss, L. (1991). Hypersets. The Mathematical Intelligencer, 13 (4), 31--41.
Bates, E. (1999). Plasticity, localization and language development. In Broman, S. and Fletcher, J. M.,
editors, The changing nervous system: Neurobehavioral consequences of early brain disorders, pages
214-253. Oxford University Press.
Bates, J. (1994) The Role of Emotions in Believable Agents. Communications of the ACM, July 1994.
Bates, J., Loyall, A.B. & Reilly, W.S., Broad agents, SIGART BULLETIN, Vol. 2, No. 4, 1991
Bates, J., Loyall, A.B. and Reilly, W.S., Broad agents, SIGART BULLETIN, Vol. 2, No. 4, 1991
Baumeister, R. F. & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a
fundamental human motivation. Psychological Bulletin, 117(3), 497-529.
Baumeister, R. F., Stillwell, A. M. & Heatherton, T. F. (1994). Guilt: An interpersonal approach.
Psychological Bulletin, 115(2), 243-267.
Beaudoin, L. Goal Processing in Autonomous Agents. PhD Thesis, Computer Science, University Of
Birmingham, 1994.
Beaudoin, L.P. and A. Sloman, A study of motive processing and attention, In: Prospects for Artificial
Intelligence A. Sloman and D. Hogg and G. Humphreys and D. Partridge and A. Ramsay (eds), IOS
Press, 1993.
Beaudoin, L.P., Goal Processing in Autonomous Agents, Ph.D. Thesis, School of Computer Science,
University of Birmingham, 1994.
Bechara, A., Tranel, D., Damasio, H., Adolphs, R., Rockland, C., and Damasio, A. R. (1995). Double
dissociation of conditioning and declarative knowledge relative to the amygdala and hippocampus in
humans.
Science, 269(5227):1115-1118.
Bechtel W and Abrahamsen A Connectionism and The Mind: An Introduction to Parallel Processing in
Networks, Blackwell, 1991.
Bechtel W and Abrahamsen A Connectionism and The Mind: An Introduction to Parallel Processing in
Networks, Blackwell, 1991.
Bechtel, W. Philosophy of Mind: An Overview for Cognitive Science, LEA Press, 1988.
Bechtel, W., Philosophy of Mind: An Overview of Cognitive Science, LEA Press, 1988.
Becker, H. S. (1960). Notes on the concept of commitment. American Journal of Sociology, 66, 32-40.
Bell, E. T. (1986). Men of mathematics. New York: Simon and Schuster. (Originally published in 1937)
Benson, S. & Nilsson, N. (1995). Reacting, planning and learning in an autonomous agent, in K.
Furukawa, D. Michie & S. Muggleton (eds), Machine Intelligence, Vol. 14, The Clarendon Press.
Benson, S. (1996). Learning Action Models for Reactive Autonomous Agents, PhD thesis, Stanford
University.
Berlekamp, E.& D. Wolfe, Mathematical Go Endgames. Ishi Press, 1994
Berry, G. & Boudol, G. (1992) The chemical abstract machine, Theoretical Computer Science, 96, 217-
248.
Bibliography
Bibliography
Bicchieri, C. and DallaBoden, M.L.C., Knowledge, Belief and strategic Interaction,Cambridge University
Press, ISBN: 0 521 41674 4, 1992.
BIckhard, M.H. and Terveen, L., Foundational Issues in Artificial Intelligence and Cognitive Science,
Elsevier, 1995.
Bickhard, M.H. and Terveen, L., Foundational Issues in Artificial Intelligence and Cognitive Science,
Elsevier, 1995.
Binsted, K., A Talking head architecture for entertainment and experimentation, NEC Research Index
http://citeseer.nj.nec.com/91443.html (Last accessed 25/3/2002), 1998
Bishop, C., (1995), Neural Networks for Pattern Recognition, Oxford Univ Press; ISBN: 0198538642
Bloch, S. (1989). Émotion ressentie, émotion recréée. Science et Vie, Hors série, 168, 68-75.
Bloch, S., Orthous, P. & Santibanez-H, G. (1987). Effector patterns of basic emotions: A
psychophysiological method for training actors. Journal of Social and Biological Structures, 10, 1-19.
Blumberg, B. M. (1996). Old Tricks, New Dogs: Ethology and Interactive Creatures.
PhD thesis, MIT. Media Laboratory, Learning and Common Sense Section.
Boden, M. A. (1998). Creativity and artificial intelligence. Artificial Intelligence, Special issue: AI 40
years later, 103 (12), 347--356.
Boden, M.A. (Editor), The Philosophy of Artificial Intelligence, Oxford University Press, 1990.
Boden, M.A. (Editor), The Philosophy of Artificial Intelligence, Oxford University Press, 1990.
Boden, M.A. (Editor), The Philosophy of Artificial Life, Oxford University Press, 1996.
Boden, M.A., Artificial Intelligence and Natural Man 2/e, MIT Press, 1987.
Bogner, M., U. Ramamurthy, and S. Franklin. 2000. Consciousness" and Conceptual Learning in a
Socially Situated Agent. In Human Cognition and Social Agent Technology, ed. K. Dautenhahn.
Amsterdam: John Benjamins.
Bogner, M. 1999. Realizing "consciousness" in software agents. Ph.D. Dissertation. University of
Memphis.
Bolc, L., & Borowik, P. (1992). Manyvalued logics: Theoretical foundations. SpringerVerlag.
Bonabeau, E., Dorigo, M. & Theraulaz G. (1999) Swarm Intelligence: From Natural to Artificial Systems,
Oxford University Press.
Bonabeau, E., Dorigo, M. and Theraulaz G. (1999). Swarm Intelligence: From Natural to Artificial
Systems, Oxford University Press.
Bonasso, R. P. (1991). Integrating reaction plans and layered competances through synchronous control.
In Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI). Sydney,
Australia: Morgan Kaufman.
Bonasso, R. P. 1991. Integrating reaction plans and layered competances through synchronous control. In
Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI). Sydney,
Australia: Morgan Kaufman.
Bonasso, R. P., Firby, R. J., Gat, E., Kortenkamp, D., Miller, D. P., and Slack, M. G. (1997). Experiences
with an architecture for intelligent, reactive agents. Journal of Experimental & Theoretical Artificial
Intelligence, 9(2/3):237-256.
Bonasso, R. P., Kortenkamp, D., Miller, D. P. & Slack, M. (1997). Experiences with an architecture for
intelligent, reactive agents. Journal of Experimental and Theoretical Artificial Intelligence, 9.
Bonasso, R. P., Kortenkamp, D., Miller, D. P. & Slack, M. 1997. Experiences with an architecture for
intelligent, reactive agents. Journal of Experimental and Theoretical Artificial Intelligence, 9.
Bonasso, R.P., Firby, R.J., Gat, E., Kortenkamp, D., Miller, D.P., Slack, M.G. (1997) “Experiences with
an Architecture for Intelligent, Reactive Agents”. Journal of Experimental and Theoretical Artificial
Intelligence, 9(2), 237—256.
Bonasso, R.P., Firby, R.J., Gat, E., Kortenkamp, D., Miller, D.P., Slack, M.G. (1997) “Experiences with
an Architecture for Intelligent, Reactive Agents”. Journal of Experimental and Theoretical Artificial
Intelligence, 9(2), 237—256.
Bonasso, R.P., Firby, R.J., Gat, E., Kortenkamp, D., Miller, D.P., Slack, M.G. (1997) “Experiences with
an Architecture for Intelligent, Reactive Agents”. Journal of Experimental and Theoretical Artificial
Intelligence, 9(2), 237—256.
Bookman, L. Trajectories through knowledge space. Kluwer, Boston, 1994.
Boole, G. (1854). An investigation of the laws of thought. Macmillan. (Reprinted by Dover Publications,
N.Y., in 1958)
Boros, E., Hammer, P. L., Ibaraki, T., Kogan, A., Mayoraz, E., & Muchnik, I. (1996). An implementation
of logical analysis of data (Rutcor Research Report No. RRR 2296). New Brunswick, N.J.: Rutgers
University.
Boucher, J. D. (1983). Antecedents to emotions across cultures. In S. H. Irvine & J. W. Berry (Eds.),
Human Assessment and Cultural Factors (pp. 407-420). New York: Plenum.
Bourgne, G. (2003) Affect-based Multi-Agent Architecture (for a 5-aside football simulation), MSc
Research Thesis, Computer Science, University of Hull, November, 2003.
Bourgne, G., Affect-based Multi-Agent Architecture (for a 5-aside football simulation), MSc Thesis,
Computer Science, University of Hull, 2003.
Boutilier, C., Brafman, R., Geib, C., Prioritized Goal Decomposition of Markov Decision Processes:
Toward a Synthesis of Classical and Decision Theoretic Planning. In: Proceeding of the 15th
International Joint Conference on Artificial Intelligence (IJCAI-97), 1997
Bower, B. (1993) A Child’s Theory of Mind. Science News. 144(3), 40-48.
Bower, G. (1994) Some Relations Between Emotions and Memory. In P. Ekman and R. Davidson (Eds).
Nature of Emotion. Oxford University Press. New York.
Bowlby, J. (1969). Attachment and loss. Vol. 1: Attachment. London: Penguin Books.
Bowlby, J. (1973). Attachment and loss. Vol. 2: Separation, anxiety, and anger. London: Penguin Books.
Bowlby, J. (1980). Attachment and loss. Vol. 3: Loss, sadness, and sepression. London: Penguin Books.
Brachman, R.J., Levesque, H.J. and Reiter, R. (Editors). Knowledge Representation, MIT Press, 1992.
Braitenberg, V., Vehicles: Experiments in Synthetic Psychology. MIT Press, 1986.
Braitenberg, V., Vehicles: Experiments in Synthetic Psychology. MIT Press, 1986.
Bratman, M., Intentions, Plans and Practical Reason, Harvard University Press, 1987
Bratman, M.E., Israel, D.J. & Pollack, M.E. Plans and resource-bounded practical reasoning.
Computational Intelligence, 4, 349-355, 1988.
Bratman, M.E., Israel, D.J. & Pollack, M.E. Plans and resource-bounded practical reasoning.
Computational Intelligence, 4, 349-355, 1988.
Brewka, G. (Ed.), Principles of Knowledge Representation, Cambridge University Press, ISBN: 1 575
86056 2, 1997.
Brodie, M.L. & Mylopoulus, J. On Knowledge Base Management Systems, Springer Verlag, 1986.
Brooks R. A. A Robust Layered control system for a mobile robot - IEEE Journal of Robotics and
Automation 2(1) 14-23, March 1986
Brooks R. A. A Robust Layered control system for a mobile robot - IEEE Journal of Robotics and
Automation 2(1) 14-23, March 1986
Brooks, R. A (1986) “Robust Layered Control System for a Mobile Robot”. IEEE Journal of Robotics and
Automation, Vol. RA-2, 1, 14-23.
Brooks, R. A (1986) “Robust Layered Control System for a Mobile Robot”. IEEE Journal of Robotics and
Automation, Vol. RA-2, 1, 14-23.
Brooks, R. A. (1986). A robust layered control system for a mobile robot. IEEE Journal of Robotics and
Automation, RA-2:14-23.
Brooks, R. A. (1991). Intelligence without representation. Artificial Intelligence 47, 139-160.
Brooks, R. A. (1991a). Intelligence without reason. In Proceedings of the 1991 International Joint
Conference on Artificial Intelligence, pages 569-595, Sydney.
Brooks, R. A. (1991b). Intelligence without representation. Artificial Intelligence, 47:139-159.
Brooks, R. A. (1999) Cambrian intelligence: The early history of the new AI. Cambridge, MA: MIT Press.
Brooks, R. A. (1999). Cambrian intelligence: The early history of the new ai. Cambridge, MA: MIT Press.
Brooks, R. A. (1999). Cambrian intelligence: The early history of the new AI. Cambridge, MA: MIT
Press.
Brooks, R. A. 1991. Intelligence without representation. Artificial Intelligence 47, 139-160.
Brooks, R., Elephants Don’t Play Chess. In: Robotics and Autonomous Systems 6, pp.3-15, 1990
Brooks, R., Elephants Don’t Play Chess. In: Robotics and Autonomous Systems 6, pp.3-15, 1990
Brooks, R.A. & Stein, L.A. Building Brains for Bodies. MIT AI Memo 1439, 1993.
Brooks, R.A. & Stein, L.A. Building Brains for Bodies. MIT AI Memo 1439, 1993.
Brooks, R.A. Intelligence without representation, Artificial Intelligence, 47:139-159, 1991.
Brooks, R.A., Breazeal, C., Irie, R., Kemp, C., Marjanovic, M., Scassellat, B., Williamson, M., Alternate
Essences of Intelligence. In AAAI-98, 1998
Brooks, R.A., How to Build Complete Creatures Rather than Isolated Cognitive Simulators, In:
Architectures For Intelligence, K. VanLehn (Ed.), LEA Pubs, 1991.
Brooks, R.A., How to Build Complete Creatures Rather than Isolated Cognitive Simulators, In:
Architectures For Intelligence, K. VanLehn (Ed.), LEA Pubs, 1991.
Brosnan, S. F. and de Waal, F. B. M. (2003). Monkeys reject unequal pay. Nature, 425:297-299.
Brustolini, J.C., Autonmous Agents : Characterisation and Requirements, Report CMU-CS-91-204,
School of Computer Science, Carnegie-Mellon University, Pittsburgh, 1991.
Bryson, J. (2000). Cross-Paradigm Analysis of Autonomous Agent Architecture. Journal of Experimental
and Theoretical Artificial Intelligence, 12(2), 165-189.
Bryson, J. 1996b. The use of state in intelligent control. Unpublished working paper. Found in
www.cs.bath.ac.uk/~jjb/ftp/sab96.ps.gz.
Bryson, J. 2000. Cross-Paradigm Analysis of Autonomous Agent Architecture. Journal of Experimental
and Theoretical Artificial Intelligence, 12(2), 165-189.
Bryson, J. J. (2000). Cross-paradigm analysis of autonomous agent architecture. Journal of Experimental
and Theoretical Artificial Intelligence, 12(2):165-190.
Bryson, J. J. (2001). Intelligence by Design: Principles of Modularity and Coordination for Engineering
Complex Adaptive Agents, PhD thesis, MIT, Department of EECS, Cambridge, MA. AI Technical
Report 2001-003.
Bryson, J. J. (2001). Intelligence by Design: Principles of Modularity and Coordination for Engineering
Complex Adaptive Agents. PhD thesis, MIT, Department of EECS, Cambridge, MA.
AI Technical Report 2001-003.
Bryson, J. J. (2002). Language isn't quite that special.
Brain and Behavioral Sciences, 25(6):679-680. commentary on Carruthers,``The Cognitive Functions
of Language", same volume.
Bryson, J. J. (2003). Where should complexity go? cooperation in complex agents with minimal
communication. In Truszkowski, W., Rouff, C., and Hinchey, M., editors, Innovative Concepts for
Agent-Based Systems, pages 298-313. Springer.
Bryson, J. J. and Stein, L. A. (2001a). Modularity and design in reactive intelligence. In Proceedings of
the 17th International Joint Conference on Artificial Intelligence, pages 1115-1120, Seattle. Morgan
Kaufmann.
Bryson, J. J. and Stein, L. A. (2001b). Modularity and specialized learning: Mapping between agent
architectures and brain organization. In Wermter, S., Austin, J., and Willshaw, D., editors, Emergent
Neural Computational Architectures Based on Neuroscience., pages 98-113. Springer.
Budiu, R. (2002) About ACT-R. [Online]. http://act-r.psy.cmu.edu/about/. [Accessed 23rd September
2002].
Burke, T.E. The Philosophy of Popper, Manchester University Press, 1983.
Butz, M.R. (1997) Chaos and Complexity: Implications for Psychological Theory and Practice. Taylor and
Francis.
Butz, V.B., Sigaud, O. & Gérard, P. (eds.) (2003). Anticipatory Behaviour in Adaptive Learning Systems.
Springer, Lecture Notes in Artificial Intelligence, 2684.
Byrne, M.D. (2003) Cognitive Architecture. In J. Jacko & A. Sears (Eds). The Human-Computer
Interaction Handbook, 97-117, Lawrence Erlbaum, New Jersey.
Byrne, R. W. & Whiten, A. (eds.) (1988). Machiavellian Intelligence: social expertise and the evolution of
intellect in monkeys, apes, and humans, Oxford: Clarendon Press.
Camras, L. A. (1992) Expressive Development and Basic Emotions. Cognition and Emotion, 6, 269-283
Cañamero, D., Modeling Motivations And Emotions as a Basis for Intelligent Behavior. In: Proceeding of
the First International Symposium on Autonomous Agents, The ACM Press, 1997
Carley, K.M., Prietula, M.J. and Lin, Z, Design versus cognition, The interaction of agent cognition and
organisational design on organisational performance, Journal of Artificial Societies and Social
Simulation, Vol. 1, no. 3, 1998.
Carlson, N. R. (2000). Physiology of Behavior. Allyn and Bacon, Boston.
Carpenter, G.A. and Grossberg, S. (1988) “The art of adaptive pattern recognition by a self-organizing
neural
Carpenter, G.A. and Grossberg, S. (1988) “The art of adaptive pattern recognition by a self-organizing
neural
Carruthers, P. (2003). The cognitive functions of language. Brain and Behavioral Sciences, 25(6).
Castelfranchi, C. (1990). Social power. A point missed in multi-agent DAI and HCI. In Y. Demazeau, &
J.-P. Müller, (Eds.), Decentralized A.I., (pp. 49-62), North-Holland: Elsevier Science Publishers.
Castelfranchi, C. and Muller, J.P. From Reaction to Cognition, 5th European Workshop on Modelling
Autonomous Agents in a Multi-Agent World, MAAMAW ‘93, Springer Verlag, 1993.
Castelfranchi, C. and Muller, J.P. From Reaction to Cognition, 5th European Workshop on Modelling
Autonomous Agents in a Multi-Agent World, MAAMAW ‘93, Springer Verlag, 1993.
Castelfranchi, C. Guarantees for autonomy in cognitive agent architectures. In: Wooldridge, M. and N.R.
Jennings (Eds), Intelligent Agents. Springer-Verlag, 1995: 56-70
Castelfranchi, C. Guarantees for autonomy in cognitive agent architectures. In: Wooldridge, M. and N.R.
Jennings (Eds), Intelligent Agents. Springer-Verlag, 1995: 56-70
Chalmers, D. J. (1997) “A computational Foundation for the Study of Cognition”, (published on the
internet)
Chalmers, D. J. (1997) “A computational Foundation for the Study of Cognition”, (published on the
internet)
Charland, L.C. Emotion as a natural kind: Towards a computational foundation for emotion theory,
Philosophical Psychology, Vol. 8, No. 1, 59-85, 1995.
Charniak, E. and McDermott, D. 1985, Introduction to Artificial Intelligence. Addison-Wesley, Reading,
Massachusetts.
Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55-81.
Chella, A., Frixione, M. & Gaglio, S (2003) Anchoring symbols to conceptual spaces: the case of dynamic
scenarios, Robotics and Autonomous Systems, Volume 43, Issues 2-3 , 31 May 2003, 175-188
Chellas, Modal Logic, Cambridge University Press, 1980.
Cheng, Y., P.Fortier, and Y.Normandin. A system integrating connectionist and symbolic approaches for
spoken language understanding. In Proceedings of the International Conference on Spoken Language
Processing, pages 1511-1514, Yokohama, 1994.
Cherry, E.C., On human communication: A review, a summary and a criticism, MIT Press, 1957.
Chi, M. T. H., Glaser, R., & Farr, M. J. (Eds.). (1988). The nature of expertise. Hillsdale, NJ: Erlbaum.
Chomsky, N. (1980). Rules and representations. Brain and Behavioral Sciences, 3:1-61.
Chrisley, R. (2003). Embodied artificial intelligence. Artificial Intelligence, 149 (1), 131-150.
Churchland, P. (1995). The engine of reason, the seat of the soul. Cambridge MA:MIT Press.
Churchland, P.M., 1990, Matter and Consciousness (Revised Edition). The MIT Press.
Chwelos, G & Oatley, K , 1994, Appraisal, computational models, and Scherer’s expert system, Cognition
and Emotion, Vol. 8, pp245-257.
Cialdini, R. B. (1984). Influence. New York: William Morrow & Company.
Ciancarini, P. & Wooldridge, M., Agent-Oriented Software Engineering. Springer-Verlag Lecture Notes
in AI V1957, 2001.
Cilliers, D, Complexity and Postmodernism, 1998.
Clark, A, and Millican, P.J.R. (Eds) Connectionism, Concepts and Folk Psychology: The Legacy of Alan
Turing (Vol. II), Clarendon Press, Oxford, 1996.
Clark, A. (2001). Being there: Putting brain, body, and world together again. Cambridge MA: MIT Press.
Clocksin, W. (1995). Knowledge representation and myth. In J. Cornwell (Ed.), Nature's imagination (p.
190-199). Oxford University Press.
Clocksin, W. (1998). Artificial intelligence and human identity. In J. Cornwell (Ed.), Consciousness and
human identity (p. 101-121). Oxford University Press.
Clocksin, W. (2003). Artificial intelligence and the future. Philosophical Transactions of the Royal
Society A, 361, 1721-1748.
Clore, G. L. (1994) Why Emotions are Never Unconscious. In P. Ekman and R. Davidson (Eds). Nature of
Emotion. Oxford University Press. New York.
Coad, P., North, D., and Mayfield, M. (1997). Object Models: Strategies, Patterns and Applications.
Prentice Hall, 2nd edition.
Coelho, H. (Eds.), The “Semantics” of Evolution: Trajectories and Trade-offs in Design Space and Niche
Space. In: Progress in Artificial Intelligence, Springer, pp.27-38, 1998
Cohen, J. How to design an alien, New Scientist, Vol. 132, No 1800, 1991.
Cohen, P. R. & Levesque, H. J. (1990). Intention is choice with commitment. Artificial Intelligence, 42,
213-261.
Cohen, P. R. & Perrault, C. R. (1979). Elements of a plan-based theory of speech acts. Cognitive Science,
3, 177-212.
Cohen, P. R., Morgan, J. & Pollack, M. E. (Eds.). (1990) Intentions in Communications. Cambridge : MIT
Press.
Cohen, P.R. & Levesque, H.J. Intention is choice with commitment, Artificial Intelligence, 42, 213-261,
1990.
Coiera, E., Artificial Intelligence in Medicine. In: Medical Informatics, The Internet and Telemedicine,
1997
Colby, K.M., Simulations of Belief Systems, In: Computer Models of Thought and Language, K.M. Colby
& R.C. Schank, W/H. Freeman & Co., 1973.
Coltheart, M. (1999). Modularity and cognition. Trends in Cognitive Sciences, 3(3):115-120.
Conen, W., and Neumann, G. (eds), Coordination Technology for Collaborative Applications:
Organisations, Processes and Agents, Springer, Lecture Notes in Computer Science 1364, ISBN 3-540-
64170, 1998.
Connell, J. H. (1990). Minimalist Mobile Robotics: A Colony-style Architecture for a Mobile
Robot.Academic Press, Cambridge, MA. also MIT TR-1151.
Connell, J. H.(1991). A hybrid architecture applied to robot navigation. In Proceedings of the IEEE
International Conference on Robotics and Automation, pp. 2719-2724.
Connell, J. H.1991. A hybrid architecture applied to robot navigation. In Proceedings of the IEEE
International Conference on Robotics and Automation, pp. 2719-2724.
Conway, M. A. 2001. Sensory-perceptual episodic memory and its context: autobiographical memory. In
Episodic Memory, ed. A. Baddeley, M. Conway, and J. Aggleton. Oxford: Oxford University
Press.Edelman, G. M. 1987. Neural Darwinism. New York: Basic Books.
Cooper, R. & Fox, J. (1998). COGENT: A visual design environment for cognitive modeling. Behavior
Research Methods, Instruments Computers, 30, 553-564.
Cooper, R. & Fox, J. 1998. COGENT: A visual design environment for cognitive modeling. Behavior
Research Methods, Instruments Computers, 30, 553-564.
Cooper, R. & Glasspool, D. (2001). Learning action affordances and action schemas. In R. M. French and
J. Sougne (Eds.) Connectionist Models of Learning, Development, and Evolution. London: Springer-
Verlag. pp. 133-142.
Cooper, R. & Glasspool, D. 2001. Learning action affordances and action schemas. In R. M. French and J.
Sougne (Eds.) Connectionist Models of Learning, Development, and Evolution. London: Springer-
Verlag. pp. 133-142.
Cooper, R. P. & Shallice, T. (1995). Soar and the case for Unified Theories of Cognition. Cognition, 55,
115-149.
Cooper, R. P. & Shallice, T. (1997): Modelling the selection of routine action: Exploring the criticality of
parameter values. In Shafto, M. G. & Langley, P. (eds.), Proceedings of the 19th Annual Conference of
the Cognitive Science Society. Palo Alto, CA, USA. pp. 131-136.
Cooper, R. P. & Shallice, T. (2000). Contention Scheduling and the control of routine activities. Cognitive
Neuropsychology, 17, 297-338.
Cooper, R. P. & Shallice, T. 1995. Soar and the case for Unified Theories of Cognition. Cognition, 55,
115-149.
Cooper, R. P. & Shallice, T. 1997: Modelling the selection of routine action: Exploring the criticality of
parameter values. In Shafto, M. G. & Langley, P. (eds.), Proceedings of the 19th Annual Conference of
the Cognitive Science Society. Palo Alto, CA, USA. pp. 131-136.
Cooper, R. P. & Shallice, T. 2000. Contention Scheduling and the control of routine activities. Cognitive
Neuropsychology, 17, 297-338.
Cooper, R. Yule, P. Fox, J. (2000) COGENT: A graphical environment for Cognitive Modelling. [Online].
http://cogent.psyc.bbk.ac.uk. [Accessed 22nd October 2002]
Cooper, R. Yule, P. Fox, J. Sutton, D. (1998) Cogent: An Environment for the Development of Cognitive
Models. In U. Schmid, J. Krems, & F. Wysotzki (Eds). A Cognitive Science Approach to Reasoning,
Learning and Discovery. Pabst Science Publishers. Lengerich, Germany.
Coradeschi, S. & Saffiotti, A. (2003) An introduction to the anchoring problem, Robotics and
Autonomous Systems, 43 (2-3), 85-96.
Cosmides, L. and Tooby, J. (1994). Origins of domain specificity: the evolution of functional
organization. In Hirschfeld, L. A. and Gelman, S. A., editors, Mapping the Mind: Domain Specificity in
Cognition and Culture. Cambridge University Press.
Cowie, R., & Cornelius, R. (2003). Describing the emotional states that are expressed in speech. Speech
Communication, 40 (1), 5-32.
Croker, S., Pine, J. M., & Gobet, F. (2001). Modelling children's case-marking errors with MOSAIC. In E.
M. Altmann, A. Cleeremans, C. D. Schunn & W. D. Gray (Eds.), Proceedings of the 4th International
Conference on Cognitive Modelling (pp. 55-60): Lawrence Erlbaum Associates.
Crole, R. L. (1993). Categories for types. Cambridge University Press.
Crook, N., & olde Scheper, T. (2002). Adaptation based on memory dynamics in a chaotic neural network.
Cybernetics and Systems, 33 (4), 341-378.
Crook, N., olde Scheper, T., & Pathirana, V. (2003). Self-organised dynamic recognition states for chaotic
neural networks. Information Sciences, 150, 59-75.
Cytowic, R. (1998) The Man Who Tasted Shapes. MIT Press. Cambridge. Massachusetts.
Damasio, A R. (1994) Descartes Error: Emotion, Reason and the Human Brain. Avon Books. New York.
Damasio, A. (1994). Descartes' error: Emotion, reason and the human brain. New York: Grosset/Putman.
Damasio, A. Descartes' error: Emotion, reason and the human brain. New York: Grosset/Putman, 1994.
Damasio, A. R. (1994). Descartes' error: Emotion, reason, and the human brain. New York, NY:
Gosset/Putnam Press.
Damasio, A. R. (1994). Descartes’ error: Emotion, reason and the human brain. New York: Avon Books.
Damasio, A. R. (1999). The feeling of what happens. Harcourt Brace & Company.
Damasio, A. R. (1999). The feeling of what happens: Body and emotion in the making of consciousness.
New York: Hartcourt Brace & Company.
Damasio, A. R. (2003). Looking for Spinoza: Joy, sorrow, and the feeling brain. New York: Hartcourt
Brace & Company.
Damasio, A. R. 1999. The Feeling of What Happens. New York: Harcourt Brace.
Darwin, C. (1872) The Expression of Emotions in Man and Animals. London. Murray.
Darwin, C. The Expression of Emotions in Man and Animals. London. Murray, 1872.
Das, S. K., Fox, J., Elsdon, D. & Hammond, P. (1997). A flexible architecture for autonomous agents
Journal of Experimental and Theoretical Artificial Intelligence 9 407-440
Das, S. K., Fox, J., Elsdon, D. & Hammond, P. 1997. A flexible architecture for autonomous agents
Journal of Experimental and Theoretical Artificial Intelligence 9 407-440
Dautenhahn, K. (Eds.), “Consciousness" and Conceptual Learning In A Socially Situated Agent. In:
Human Cognition and Social Agent Technology, 1998
Davey, G., Ecological Learning Theory, Routledge, 1989.
Davis D.N. (1998) Synthetic agents: synthetic minds? IEEE International Conference on Systems, Man
and Cybernetics, San Diego.
Davis D.N., (1998) Architectures for Motivated Agents. Journal Of Computational Intelligence (Under
Review).
Davis D.N., A. Sloman and R. Poli (1995) Simulating agents and their environments. AISB Quarterly,
October 1995.
Davis D.N.and B. Berbank-Green (1998) Towards an Architecture for A-life Agents, International
Conference on Computational Intelligence for Modelling, Control and Automation, Vienna,
CIMCA99, 1999.
Davis, D.N. & Lewis, S.C. (2003) Computational Models of Emotion for Autonomy and Reasoning,
Informatica (Special Edition on Perception and Emotion Based Models of Reasoning), 27(2), pp. 159-
165.
Davis, D.N. (1997) Reactive and motivational agents. In: Intelligent Agents III: Agent Theory, Language
and Architectures, Springer-Verlag.
Davis, D.N. (2001) Control States and Complete Agent Architectures, Computational Intelligence, 17(3).
Davis, D.N. (2004) Affect and Affordance: Architectures without Emotion. AAAI 2004 Spring
Symposium: Architectures for Modeling Emotion: Cross-Disciplinary Foundations, Stanford, USA.
Davis, D.N. 2000. Designing Agents. In : Technical Report, NEAT-1, Department of Computer Science,
University of Hull, November 2000.
Davis, D.N. Agents, Emergence, Emotion and Representation, Emergent Behaviour of Complex Human-
Machine Interaction, IEEE International Conference on Industrial Electronics, Control and
Instrumentation (IECON2000), Nagoya, Japan 2000.
Davis, D.N. Agents, Emergence, Emotion and Representation, Emergent Behaviour of Complex Human-
Machine Interaction, IEEE International Conference on Industrial Electronics, Control and
Instrumentation (IECON2000), Nagoya, Japan 2000.
Davis, D.N. and Lewis, S.C. Affect and Affordance: Architectures without Emotion. AAAI Spring
symposium 2004, Stanford University, California, USA
Davis, D.N. and Lewis, S.C., 2002, Computational Models of Emotion for Autonomy and Reasoning,
Informatica Special Edition
Davis, D.N. and Lewis, S.C., Computational Models of Emotion for Autonomy and Reasoning.
Informatica (Special Edition on Perception and Emotion Based Reasoning), 27(2):159-165, 2003.
Davis, D.N. Architectures for Cognitive and Artificial-Life Agents In: Intelligent Agent Software
Engineering, V. Plekhanova (eds.), IDEA Group Publishing, Copyright 2003
Davis, D.N. Computational Architectures for Intelligence and Motivation, 17th IEEE International
Symposium on Intelligent Control, Vancouver, Canada, 2002.
Davis, D.N. Computational Architectures for Intelligence and Motivation, IEEE Systems and Intelligent
Control, Vancouver, Canada, 2002.
Davis, D.N. Towards A Formalism For Cognitive Agents Using The Minder Scenario Cognitive Science
Report, CRSP12-95, School of Computer Science, University Of Birmingham, November 1995.
Davis, D.N., 2001. Multiple Level Representation of Emotion in Computational Agents, Emotion,
Cognition & Affective Computing, AISB2001-Agents and Cognition, University of York, 2001.
Davis, D.N., Computational Architectures for Intelligence and Motivation, 17th IEEE International
Symposium on Intelligent Control, Vancouver, Canada, 2002.
Davis, D.N., Control States and Complete Agent Architectures, International Journal of Computational
Intelligence, 17(4) 2001.
Davis, D.N., Control States and Complete Agent Architectures., Computational Intelligence, 17(4):621-
650, 2001
Davis, D.N., Multiple Level Representations of Emotion in Computational Agents, Emotion, Cognition
and Affective Computing, AISB2001:Agents and Cognition, University of York, 2001. isbn: 1
902956197
Davis, D.N., Multiple Level Representations of Emotion in Computational Agents, Emotion, Cognition
and Affective Computing, AISB2001: Agents and Cognition, University of York, 2001
Davis, D.N., Reactive and motivational agents. In: Intelligent Agents III, J.P. Muller, M.J. Wooldridge
and N.R. Jennings (Eds.), Springer-Verlag, 1996.
Davis, D.N., Reactive and motivational agents: towards a collective mind. In: Intelligent Agents III -
Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages,
J.P. Muller and M.J. Wooldridge and N.R. Jennings (Eds.), Springer-Verlag, Heidelberg, 1996.
Davis, D.N., Sloman, A. and Poli, R. Simulating agents and their environments. AISB Quarterly, 1995.
Davis, D.N., Synthetic Agents: Synthetic Minds? Frontiers in Cognitive Agents, IEEE Symposium on
Systems, Man and Cybernetics, San Diego, 1998.
Davis, D.N., T. Chalabi and B. Berbank-Green, Towards an architecture for artificial life agents: II, In: M.
Mohammadian (Editor), New Frontiers in Computational Intelligence and Its Applications, ISO Press,
1999.
Davis, R. & King, J. An Overview of Production Systems. Machine Intelligence 8, Wiley, 1976.
Davis, R. & Lenat, D.B. Knowledge-Based Systems in Artificial Intelligence, McGraw-Hill, 1982.
Davis, R. & Smith, R.G. Negotiation as a Metaphor For Distributed Problem Solving. Artificial
Intelligence, 20, 83-109, 1983.
Dawkins, R. (1976) The Selfish Gene, Oxford University Press).
Dawkins, R. (1976). Hierarchical organisation: A candidate principle for ethology. In Bateson, P. P. G.
and Hinde, R. A., editors, Growing Points in Ethology, pages 7-54. Cambridge University Press,
Cambridge.
de Bone, E. Water Logic, Viking Press, 1993.
De Groot, A. D., & Gobet, F. (1996). Perception and memory in chess. Heuristics of the professional eye.
Assen: Van Gorcum.
De Wall, F. (1996). Good natured. The origins of right and wrong in humans and other animals.
Cambridge, MA: Harvard University Press.
Deacon, T. (1992) Brain-Language Coevolution. Reading, MA: Addison-Wesley.
Dehaene, S., Kerszberg, M., and Changeux, J.-P. (1998). A neuronal model of a global workspace in
effortful cognitive tasks. Proceedings of the National Acadamy of Science, USA, 95:14529-34.
Dehaene, S., Naccache, L., Cohen, L., Le Bihan, D., Mangin, J.-F., Poline, J.-B., and Rivière, D. (2001).
Cerebral mechanisms of word masking and unconscious repetition priming. Nature Neuroscience,
4(7):678-680.
Delannoy, J-F., Feng, C., Matwin, S. & Szpakowicz, S. Knowledge extraction from text: machine learning
for text-to-rule translation. In: Proceedings Workshop on Machine Learning Techniques and Text
Analysis, European Conference on Machine Learning ECML-93, Vienna, 1993.
Dennet, D. (1991) Consciousness Explained, London: Penguin.
Dennett, D. C. (1984). Elbow Room: varieties of free will worth having. Oxford: OUP.
Dennett, D. C. (2001). Are we explaining consciousness yet? Cognition, 79:221-237.
Dennett, D.C. (1991). Consciousness explained. London, U.K.: Penguin.
DePristo, M. & Zubek, R. (2001). being-in-the-world, Proceedings of the 2001 AAAI Spring Symposium
on Artificial Intelligence and Interactive Entertainment.
Devlin, K. (2001). The real reason why software engineers need math. Communications of the ACM, 44
(10), 21--22.
Devlin, K. (Ed.). (2003). Why cs students need math (special section). Communications of the ACM, 46
(9), 37--56.
Diederich, J. and D.L. Long. Efficient question answering in a hybrid system. In Proceedings of the
International Joint Conference on Neural Networks, Singapore, 1992.
Dimberg, U. (1982). Facial reactions to facial expressions. Psychophysiology, 19(6), 643-647.
d'Inverno, M., Kinny, D., Luck, M., and Wooldridge, M. (1997). A formal specification of dMARS. In
Singh, M. P., Rao, A. S., and Wooldridge, M. J., editors, Proceedings of the 4th International
Workshop on Agent Theories, Architectures and Languages, pages 155-176, Providence, RI. Springer.
Dittrich, P., Ziegler, J. & Banzhaf W., (2001) Artificial chemistries: A review, Artificial Life, 7, 225-275.
Donald, M. 2001. A Mind So Rare. New York: Norton.
Dongha, P. (1994). Toward a formal model of commitment for resource bounded agents. In M. J.
Wooldridge & N. R. Jennings, (Eds.), Intelligent agents, Proceedings of the ECAI-94 Workshop on
Agent Theories, Architectures, and Languages, Lecture Notes on Artificial Intelligence, No. 890, (pp.
86-101), Berlin: Springer-Verlag.
Donnai, D. and Karmiloff-Smith, A. (2000). Williams syndrome: From genotype through to the cognitive
phenotype. American Journal of Medical Genetics, 97(2):164-171.
Dorffner, G. Neural Networks and a New AI. Chapman and Hall, London, UK, 1996.
Dourish, P. (2001). Where the action is: The foundations of embodied interaction. Cambridge, Mass: MIT
Press.
Downing, P. E., Liu, J., and Kanwisher, N. (2001). Testing cognitive models of visual attention with fmri
and meg. Neuropsychologia, 39:1329-1342.
Doyle, J. (1983). A society of mind. Technical Report 127, CMU Department of Computer Science.
Dudai, Y. (1989) The Neurobiology of Memory. Oxford University Press. New York.
Duffy, E. (1941) An Explanation of ‘Emotional’ Phenomena Without the Use of the Concept ‘Emotion’.
The Journal of General Psychology, 25, 283-293.
Duffy, E., Activation and Behaviour, Wiley and Sons, 1962.
Duncker, K., On problem solving. Pyschological Monographs, 58(5), 1945.
Dyer, M.G. Symbolic neuroengineering for natural language processing: a multilevel research approach.
In J.A. Barnden and J.B. Pollack, editors, Advances in Connectionist and Neural Computation Theory,
Vol.1: High Level Connectionist Models, pages 32-86. Ablex Publishing Corporation, Norwood, NJ,
1991.
Edelman, G. M. (1992). Bright air, bright fire: on the matter of mind. London : Penguin.
Edmonds, B. (1999a). Capturing Social Embeddedness: a constructivist approach. Artificial Behavior,
7(3/4), 323-348.
Edmonds, B. (1999b). Gossip, Sexual Recombination and the El Farol bar: modelling the emergence of
heterogeneity. Journal of Artificial Societies and Social Simulation, 2(3),
<http://www.soc.surrey.ac.uk/JASSS/2/3/2.html>.
Edmonds, B. (2000a). Towards Implementing Free Will. , AISB'2000 symposium on "How to Design a
Functioning Mind", Birmingham, April 2000. http://cfpm.org/cpmrep57.html
Edmonds, B. (2001b) Learning Appropriate Contexts. In: Akman, V. & al. (eds.) Modelling and Using
Context - CONTEXT 2001, Dundee, July, 2001. Lecture Notes in Artificial Intelligence, 2116:143-
155.
Edmonds, B. (2001c). Meta-Genetic Programming: Co-evolving the Operators of Variation. ELECTRIK,
9:13-29.
Edmonds, B. (2002). A review of "reasoning about rational agents" by michael wooldridge. Journal of
Artificial Societies and Social Simulation, 5(1). http://jasss.soc.surrey.ac.uk/5/1/reviews/edmonds.html.
Edmonds, B. (in press) The Social Embedding of Intelligence - Towards producing a machine that could
pass the Turing Test. In Peters, G. & Epstein, R (eds.) The Turing Test Sourcebook: Philosophical and
Methodological Issues in the Quest for the Thinking Computer. Kluwer.
Eibl-Eibesfeldt, I. (1975). Ethology: The biology of behavior. (Second edition). New York: Holt, Rinehart
& Winston.
Eilenberg, S., & Lane, S. M. (1945). General theory of natural equivalences. Trans. Amer. Math. Soc., 58,
231--294.
Eisenstadt, M., Domingue, J., Rajan, T. & Motta, E. Visual Knowledge Engineering. IEEE Trans.
Software Engineering, Vol. 16, No. 10, 1990.
Ekman, P. & Davidson, R. J. (Eds.) (1994). Can we control our emotions? Chapter 7: of The nature of
emotion: Fundamental questions (pp. 263-282). Oxford: Oxford University Press.
Ekman, P. (1984). Expression and the nature of emotion. In K. R. Scherer & P. Ekman (Eds.), Approaches
to emotion (pp. 319-343). Hillsdale, N.J.: Erlbaum.
Ekman, P. (1993). Facial expression and emotion. American Psychologist, 48, 384-392.
Ekman, P. (1994) Moods, Emotions and Traits. In P. Ekman and R. Davidson (Eds). Nature of Emotion.
Oxford University Press. New York.
Ekman, P. (1999) Basic Emotions. In T. Dalgleish and M. Power (Eds). Handbook of Cognition and
Emotion. John Wiley and Sons. New York.
Ekman, P. (Ed.) (1982). Emotion in the human face. Cambridge, England: Cambridge University Press.
Ekman, P. The Nature of Emotion: Fundamental Questions. Oxford University Press. New York, 1994.
Ekman, P., Levenson, R. W. & Friesen, W. V. (1983). Autonomous nervous system activity distinguishes
between emotions. Science, 221,1208-1210.
Elliott, C. (1994) Research Problems in the Use of a Shallow Artificial Intelligence Model of Personality
and Emotion. In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI 94).
Seattle, Washington.
Elliott, C. (1994) The Affective Reasoning Project. [Online] www.depaul.edu/~elliott/arback.html.
[Accessed 7th February 2001].
Elliott, C., The Affective Reasoner: A Process Model of Emotions in a Multi-Agent System. PhD Thesis.
Northwestern University, USA, 1992.
Elman, J. L., Bates, E. A., Johnson, M. H., Karmiloff-Smith, A., Parisi, D., and Plunkett, K. (1996).
Rethinking Innateness. A Connectionist Perspective on Development. MIT Press, Cambridge, MA.
Elsaesser C. & Slack M.G. 1994. Integrating deliberative planning in a robot architecture. In Proceedings
of the AIAA/NASA Conference on Intelligent Robots in Field, Factory, Service, and Space (CIRFFSS
'94), Houston, TX, pp.782-787.
Emden , M.H. van. , An Analysis of Complexity. Amsterdam : Mathematisch Centrum., 1971
Enderton, H. B. (1972). A mathematical introduction to logic. Academic Press.
Englemore, R. and Morgan, T., Blackboard Systems, Addison-Wesley, 1988.
Epstein, J.M. & Axtell, R.L., (1996) Growing Artificial Societies. The MIT Press.
Epstein, J.M. and Axtell, R. Growing Artificial Societies: Social Science From The Bottom Up, MIT
Press, 1996.
Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis. Verbal reports as data (2nd ed.). Cambridge,
MA: MIT Press.
Ericsson, K. A., and W. Kintsch. 1995. Long-term working memory. Psychological Review 102:21-245.
Estes, W. K. 1972. An associative basis for coding and organization in memory. In A. W. Melton and E.
Martin (Eds.) Coding Processes in Human Memory (pp. 161-190). Washington DC: V. H. Winston &
sons.
Etzioni, O (ed) Software Agents - 1994 Spring symposium (SS-94-03), AAAI Pres, 1994.
Evans, D. (2002). Emotion: The science of sentiment. Oxford: Oxford University Press.
Evans, D. and Zarate, O. (1999). Introducing Evolutionary Psychology. Icon Books Ltd., Cambridge.
Eysenck, M.W. (Editor), Blackwell Dictionary of Cognitive Psychology, Blackwell Publishers, Oxford,
1990.
Eysenck, M.W. 1993, Principles of Cognitive Pyschology., Lawrence Earlbaum Associates Ltd., Hove,
UK.
Fainsilber, L. & Ortony, A. (1987). Metaphorical uses of language in the expression of emotions.
Metaphor and Symbolic Activity, 2 (4), 239–250.
Falkenhainer, B., Forbus, K.D. & Gentner, D. (1989). The Structure-Mapping Engine: algorithm and
examples. Artificial Intelligence, 41 (1), 1–63.
Fanty, M.A. Learning in structured connectionist networks. Technical Report 252, University of
Rochester, Rochester, NY, 1988.
Feigenbaum, E. A., & Simon, H. A. (1984). EPAM-like models of recognition and learning. Cognitive
Science, 8, 305-336.
Feigenbaum, E.A. & J. Feldman (Eds.), Computers and Thought, McGraw-Hill, ISBN 0-262-56092-5,
1963.
Feldman, J.A. and D.H. Ballard. Connectionist models and their properties. Cognitive Science, 6:205-254,
1982.
Feldman, J.A., G.Lakoff, D.R. Bailey, S.Narayanan, T.Regier, and A.Stolcke. The first five years of an
automated language acquisition project. AI Review, 8, 1996.
Ferber, J. Multi-Agent Systems, Addison-Wesley, 1999
Ferber, J. Multi-Agent Systems, Addison-Wesley, 1999
Ferber, J. Multi-Agent Systems, Addison-Wesley, ISBN 0-201-36048-9, 1999
Ferber, J., Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, Addison-Wesley,
ISBN 0-201-36048-9, 1999
Ferguson, I.A. Integrated Control and Coordinated Behaviour: a Case for Agent Models. In Intelligent
Agents: ECAI-94 Workshop on Agent Theories, Architectures and Languages, pp 203-218, Springer-
Verlag, 1995.
Ferguson, I.A. TouringMachines: An Architecture for Dynamic, Rational, Mobile Agents. Technical
Report 273, University Of Cambridge Computer Laboratory, 1992.
Fiadeiro, J.L., Schobbens, P.-Y., A Logic of BDI Agents with Procedural Knowledge. In: Proceeding of
the Second Workshop of the MODELAGE Project, 1996
Fiala, M. & Basu, A. (2004) Robot navigation using panoramic tracking. Pattern Recognition, 37(11)
2195-2215.
FIFA Publications and Handbook, http://www.fifa.com/fifa/handbook/index.handbook.html (Last
accessed 22/1/2001)
Fikes, R. and Nilson, N. (1971) “STRIPS: A new approach to the application of theorem proving to
problem solving”. artificial Intelligence, 2(3-4), 189—208.
Fikes, R. and Nilson, N. (1971) “STRIPS: A new approach to the application of theorem proving to
problem solving”. artificial Intelligence, 2(3-4), 189—208.
Fikes, R. E. (1982). A commitment-based framework for describing informal cooperative work. Cognitive
Science, 6, 331-347.
Fillmore, C.J. The case for case. In: Bach, E. & Harmes, R.G. (Eds). Universals In Linguistic Theory,
Holt, 1968.
Finlay, J and Dix, A. An Introduction to Artificial Intelligence, UCL Press, 1996
Firby, R. J. (1994). Task networks for controlling continuous processes. In Proceedings of the Second
International Conference on AI Planning Systems. AAAI Press. pp.49-54.
Firby, R. J. 1994. Task networks for controlling continuous processes. In Proceedings of the Second
International Conference on AI Planning Systems. AAAI Press. pp.49-54.
Fischer, K., J.P.Muller and M.Pisschel. Unifying control in a layered agent architecture. IJCAI95, Agent
Theory, Architecture and Language Workshop 95:240-252, Montreal, August 1995.
Flombaum, J. I., Santos, L. R., and Hauser, M. D. (2002). Neuroecology and psychological modularity.
Trends in Cognitive Sciences, 6(3):106-108.
Fodor, J. A. (1983). The Modularity of Mind. Bradford Books. MIT Press, Cambridge, MA.
Fodor, J. A. (1992) A Theory of the Child’s Theory of Mind. Cognition, 44, 283-296.
Fontata, W. & Buss, L.W. (1996) The barrier of objects: from dynamical systems to bounded
organizations, SFI Working Paper, 96-05-035, Santa Fe Institute.
Ford, K.M., C. Glymour & P. J. Hayes (Eds.), Android Epistemology, MIT Press, ISBN 0-262-06184-8,
1989.
Forrest, A.D., Affleck, J.W. and Zealey, A.K. Companion to Psychiatric Studies (Second Edition),
Churchill Livingstone, 1978.
Forsyth R Machine Learning: Principles and Techniques, Chapman & Hall, 1989
Fortenbaugh, W. (1975) Aristotle on Emotion: a Contribution to Philosophical Psychology, Rhetoric
Poetics, Politics and Ethics. Duckworth. London.
Fox, J. & Das, S. 2000. Safe and Sound: Artificial intelligence in hazardous applications. Cambridge,
Mass.: MIT press.
Frank, R. H. (1988). Passions within reason: The strategic role of the emotions. New York: W. W. Norton
& Company.
Frankel, C.B. and Ray, R.D. Emotions, Self-Regulatory Processing and Motivation : Accomplishing
adaptive competence in real-time, http://www.ome1.com/EmotionAdaptationAnd Motivation.HTML,
1998.
Frankel, C.B., Ray, R.D., Competence, Emotion and Self-Regulatory Architecture. In: Emotion, Cognition
& Affective Computing, AISB2001-Agents and Cognition, 2001
Franklin S.P. & Graesser A.G. Is It an Agent, or Just a Program?: A Taxonomy for Autonomous Agents,
In: Intelligent Agents III, J.P. Muller, M.J. Wooldridge & N.R. Jennings (Eds.), Springer-Verlag,
Heidelberg, 1996.
Franklin S.P., Autonomous Agents as Embodied AI, Cybernetics and Systems, Vol. 28, No. 6, pp. 499-
520, 1998.
Franklin S.P., Autonomous Agents as Embodied AI, Cybernetics and Systems, Vol. 28, No. 6, pp. 499-
520, 1998.
Franklin, S. (2005) A “Consciousness” Based Architecture for a Functioning Mind, In Davis (2005).
Franklin, S. 2001. Conscious Software: A Computational View of Mind. In Soft Computing Agents: New
Trends for Designing Autonomous Systems, ed. V. Loia, and S. Sessa. Berlin: Springer (Physica-
Verlag).
Franklin, S., A consciousness based architecture for a functioning mind, Proceedings of the AISB’00
Symposium on How to Design a Functioning Mind, April 2000.
Franklin, S., and A. Graesser. 2001. Modeling Cognition with Software Agents. In CogSci2001:
Proceedings of the 23rd Annual Conference of the Cognitive Science Society, ed. J. D. Moore, and K.
Stenning. Mahwah, NJ: Lawrence Erlbaum Associates; August 1-4, 2001.
Franklin, S., B. J. Baars, U. Ramamurthy, and M. Ventura. In preparation. The Role of Consciousness in
Memory.
Franklin, S., Conscious Software: A Computational View of Mind. In Soft Computing Agents: New
Trends for Designing Autonomous Systems, ed. V. Loia, and S. Sessa. Berlin: Springerm 2001.
Franklin, S.P., Artificial Minds, MIT Press, ISBN 0-262-56109-3, 1997
Franklin, S.P., Autonomous Agents as Embodied AI, Cybernetics and Systems, Vol.28, No.6, pp. 499-
510, 1997
Franklin, S.P., Graesser, A., Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In:
Third International Workshop on Agent Theories, Architectures, and Languages, Springer, 1996
Franklin, S., A. Kelemen, and L. McCauley. 1998. IDA: A Cognitive Agent Architecture. In IEEE Conf
on Systems, Man and Cybernetics. : IEEE Press.
Franklin, S., and A. C. Graesser. 1997. Is it an Agent, or just a Program?: A Taxonomy for Autonomous
Agents. In Intelligent Agents III. Berlin: Springer Verlag.
Franklin, S., and A. Graesser. 1999. A Software Agent Model of Consciousness. Consciousness and
Cognition 8:285–305.
Franklin,, S.P. Artificial Minds, The MIT Press, Cambridge, Mass., 1995.
Freed, M., Bear, T., Goldman, H., Hyatt, G., Reber, P. & Tauber, J. (2000). Towards more human-like
computer opponents, AAAI 2000 Spring Symposium Series: Artificial Intelligence and Interactive
Entertainment,March 2000, Technical Report SS-00-02.
Freedman, D. J., Riesenhuber, M., Poggio, T., and Miller, E. K. (2001). Categorical representation of
visual stimuli in the primate prefrontal cortex. Science, 291:312-316.
Freud, S. (1894) The Defence Neuro-psychoses. In E. Jones (Ed), Sigmund Freud: Collected Papers.
BasicBooks. New York. 1959.
Freudenthal, D., Pine, J. M., & Gobet, F. (2001). Modelling the optional infinitive stage in MOSAIC: A
generalisation to Dutch. In E. M. Altmann, A. Cleeremans, C. D. Schunn & W. D. Gray (Eds.),
Proceedings of the 4th International Conference on Cognitive Modeling (pp. 79-84). Mahwah, NJ:
Erlbaum.
Frijda, N and Swagerman, J.. Can computers feel? theory and design of an emotional system. Cognition
and Emotion, 1(3):235--257, 1987.
Frijda, N. (1987) The Emotions. Cambridge University Press, Cambridge
Frijda, N. (1994) Varieties of Affect: Emotions, Episodes, Moods and Sentiments. In P. Ekman and R.
Davidson (Eds). Nature of Emotion. Oxford University Press. New York.
Frijda, N. H. (1986). The emotions. Cambridge: Cambridge University Press.
Frijda, N. H. (1989). The functions of emotional expression. In J. P. Forgas & J. M. Innes (Eds.), Recent
Advances in Social Psychology: An International Perspective (pp. 205-217). Amsterdam: North-
Holland.
Frijda, N. H. (1993). The place of appraisal in emotion. Cognition and Emotion, 7(3/4), 357-387.
Frijda, N., The Emotions, Cambridge University Press 1986.
Frijda, N.H. & Mesquita, B. (2000) Beliefs through emotions, In: Frijda, N.H., Manstead, A.S.R. & Bem,
S. (Eds.), Emotions and Beliefes. How Feelings Influence Thoughts, Cambridge University Press, pp.
45-77.
Frijda, N.H., Manstead, A.S.R. & Bem, S. (2000) The influence of emotions on beliefs, In: Frijda N.H.,
Manstead A.S.R. & Bem S. (Eds.) Emotions and Beliefes. How Feelings Influence Thoughts,
Cambridge University Press, pp. 1-10.
Frost, R.A. (1986) Introduction to Knowledge Base Systems. Collins.
Furukawa K., Michie, D., Muggleton, S. (Eds.), Reacting, Planning, and Learning in an Autonomous
Agent. In: Machine Intelligence 14, Oxford: the Clarendon Press, 1995.
Gall, F. J. (1825). Sur l'origine des qualités morales et des facultés intellectuelles de l'homme : et sur les
conditions de leur manifestation. J. B. Baillière, Paris.
Gardner H G The Mind’s New Science, New York: Basic Books, 1985.
Gardner, H. (1993) Multiple Intelligences: the Theory in Practise. BasicBooks. New York.
Gardner, M. (1970). Mathematical Games: The fantastic combinations of John Conway's new solitaire
game `Life'. Scientific American, 223(4):120-123.
Garnham A and Oakhill J Thinking and Reasoning Blackwell, 1994
Garson, J. (2002) Connectionism. In E. Zalta (Ed), The Stanford Encyclopaedia of Philosophy.
http://plato.stanford.edu/archives/win2002/entries/connectionism/
Garvey, A., Lesser, V., Design-to-time Real-Time Scheduling, 1994
Gasser, L. & Briot, J.P. Object-based concurrent programming and DAI. In: Distributed Artificial
Intelligence: Theory and Praxis, 81-108, Kluwer, 1992.
Gasser, L. & Briot, J.P. Object-based concurrent programming and DAI. In: Distributed Artificial
Intelligence: Theory and Praxis, 81-108, Kluwer, 1992.
Gasser, L. (1991). Social conceptions of knowledge and action: DAI foundations and open systems
semantics. Artificial Intelligence, 47, 107-138.
Gat, E. (1991). Reliable Goal-Directed Reactive Control of Autonomous Mobile Robots. PhD thesis,
Virginia Polytechnic Institute and State University.
Gat, E. (1991). Reliable, Goal-directed Reactive Control of Autonomous Mobile Robots. Ph.D.
Dissertation, Virginia Polytechnic Institute.
Gat, E. (1998). On three layer architectures. In D. Kortenkamp, R. P. Bonnasso and R. Murphey, eds.
Artificial Intelligence and Mobile Robots. AAAI Press.
Gat, E. (1998). Three-layer architectures. In Kortenkamp, D., Bonasso, R. P., and Murphy, R., editors,
Artificial Intelligence and Mobile Robots: Case Studies of Successful Robot Systems, pages 195-210.
MIT Press, Cambridge, MA.
Gat, E. (1998). Three-layer architectures. In Kortenkamp, D., Bonasso, R. P., and Murphy, R., editors,
Artificial Intelligence and Mobile Robots: Case Studies of Successful Robot Systems, pages 195-210.
MIT Press, Cambridge, MA.
Gat, E. 1991. Reliable, Goal-directed Reactive Control of Autonomous Mobile Robots. Ph.D.
Dissertation, Virginia Polytechnic Institute.
Gat, E. 1998. On three layer architectures. In D. Kortenkamp, R. P. Bonnasso and R. Murphey, eds.
Artificial Intelligence and Mobile Robots. AAAI Press.
Gathercole, C. (1998) An Investigation of Supervised Learning in Genetic Programming. PhD Thesis,
University of Edinburgh, 207 pages. ftp://ftp.dai.ed.ac.uk/pub/daidb/papers/pt9810.ps.gz
GC5 (2005) UK Computing Research Committee Grand Challenge 5: Architecture of Brain and Mind, University
of Birmingham website, http://www.cs.bham.ac.uk/research/cogaff/gc/
Georgeff, M. P. and Lansky, A. L. (1987). Reactive reasoning and planning. Proc the Sixth National
Conference on Artificial Intelligence, 2 (pp. 677-682). Seattle, WA: AAAI.
Georgeff, M.P. and Lansky, A.L., Reactive reasoning and planning. Proceedings of the Sixth National
Conference on Artificial Intelligence, 2, pp. 677-682, Seattle, WA: AAAI, 1987.
Georgeff, M.P., & Rao, A.S. (1995) The semantics of intention maintenance for rational agents.
Proceedings IJCAI95, Montreal, 704-710.
Georgeff, M.P., & Rao, A.S. (1995), The semantics of intention maintenance for rational agents.
Proceedings IJCAI95, Montreal, 704-710.
Gerevin, A., and L. Schuber. 1996. Accelerating partial -order planners: Some techniques for effective
search control and pruning. Journal of Artificial Intelligence Research 5:95-137.
Gergen, K. (1994). Realities and relationships: Soundings in social construction. Cambridge MA: Harvard
University Press.
Gergen, K. (1999). An invitation to social construction. London: Sage.
Gerrod Parrott, W. Hertal, P. (1999) Research Methods in Cognition and Emotion, In T. Dalgleish and M.
Power (Eds). Handbook of Cognition and Emotion. John Wiley and Sons. New York.
Gerson, E. H. (1976). On "quality of life". American Sociological Review, 41, 793-806.
Gibbs, R.W., Jr. (1994). Poetics of mind: Figurative thought, language and understanding. Cambridge,
UK and New York, USA: Cambridge University Press.
Gibson, E. and Ingold, T (Editors), Tools, Language and Cognition in Human Evolution, Cambridge
University Press, 1993.
Gibson, J. (1986) The Ecological Approach to Visual Perception. Lawrence Erlbaum Associates. New
Jersey.
Gibson, J. J. (1977). The theory of a#ordances. In R. Shaw & J. Bransford (Eds.), Perceiving, acting, and
knowing (pp. 67--82). NewYork: Wiley.
Gibson, J.J., The Ecological Approach to Visual Perception, Boston: Houghton Mifflin, 1979.
Gibson, J.J., The Ecological Approach to Visual Perception, Boston: Houghton Mifflin, 1979.
Gibson, J.J., The Ecological Approach to Visual Perception, LEA.
Gilbert, N. and Conte, R. (1995) Artificial Societies: The computer simulation of social life, UCL Press,
ISBN 1-85728-305-8.
Gilbert, N. and Conte, R. (1995) Artificial Societies: The computer simulation of social life, UCL Press,
ISBN 1-85728-305-8.
Gilbert, N. and Doran, J. (1994) Simulating Societies: The computer simulation of social phenomena,
UCL Press, ISBN 1-85728-082-2.
Gilbert, N. and Doran, J. (1994) Simulating Societies: The computer simulation of social phenomena,
UCL Press, ISBN 1-85728-082-2.
Gilhooly, K.J., Thinking: Directed, Undirected, Creative (3/e), Academic Press, 1996.
Ginsberg, A. Automatic refinement of expert system knowledge bases. Morgan Kaufmann, 1988.
Ginsberg, M.L. & Geddis, D.F. Is there any Need for Domain-Dependent Control Knowledge.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991.
Glasspool D. W. 2000. The integration and control of behaviour: Insights from neuroscience and AI
(paper in symposium "How to design a functional mind" at the AISB Convention, 2000). Technical
Report 360, Advanced Computation Lab, Cancer Research UK.
Glasspool, D. W. In press. Modelling serial order in behaviour: Evidence from performance slips. In G.
Houghton (Ed.) Connectionist modelling in psychology. Psychology Press: Hove, UK.
Glasspool, D. W. & Cooper, R. 2002. Executive Processes. In R. Cooper (Ed.) Modelling High Level
Cognitive Processes. New Jersey: Lawrence Erlbaum Associates. pp. 313-362.
Glasspool, D. W. 1998. Modelling serial order in behaviour: Studies of spelling. Doctoral thesis,
University College London.
Gobet, F. (1997). A pattern-recognition theory of search in expert problem solving. Thinking and
Reasoning, 3, 291-313.
Gobet, F. (1998). Expert memory: A comparison of four theories. Cognition, 66, 115-152.
Gobet, F. (1999). Simulations of stagewise development with a symbolic architecture. In J. P. Dauwalder
& W. Tschacher (Eds.), Dynamics, synergetics and autonomous agents (pp. 143-156). Singapore:
World Scientific.
Gobet, F., & Pine, J. M. (1997). Modelling the acquisition of syntactic categories. In Proceedings of
the19th Annual Meeting of the Cognitive Science Society (pp. 265-270). Stanford, CA: Hillsdale, NJ:
Erlbaum.
Gobet, F., & Simon, H. A. (1996). Recall of rapidly presented random chess positions is a function of
skill. Psychonomic Bulletin & Review, 3, 159-163.
Gobet, F., & Simon, H. A. (2000). Five seconds or sixty? Presentation time in expert memory. Cognitive
Science, 24, 651-682.
Gobet, F., & Waters, A. J. (in press). The role of constraints in expert memory. Journal of Experimental
Psychology: Learning, Memory & Cognition.
Gobet, F., Lane, P. C. R., Croker, S., Cheng, P. C.-H., Jones, G., Oliver, I., & Pine, J. M. (2001).
Chunking mechanisms in human learning. Trends in Cognitive Sciences, 5, 236-243.
Gobet, F., Richman, H., Staszewski, J., & Simon, H. A. (1997). Goals, representations, and strategies in a
concept attainment task: The EPAM model. The Psychology of Learning and Motivation, 37, 265-290.
Goldberg, D.F.Genetic Algorithm in search, optimisation and machine learning, Addison-Wesley, 1989,
Goleman, D. (1996) Emotional Intelligence, Bloomsbury Publishing, 1996.
Goleman, D. (1996) Emotional Intelligence: Why it can Matter more than IQ. Bloomsbury. London.
Goleman, D. (1998) Working with Emotional Intelligence. Bloomsbury. London.
Gonzalez, A. J. and Dankel, D. D., The Engineering of Knowledge Based Systems: Theory and Practice,
Prentice Hall, 1993
Gopnik, A. (1993) How we know our Minds: the illusion of the first person knowledge of internationality.
Behavioral and Brain Sciences, 16, 1-14.
Gordon, I. (1996) Theories of Visual Perception (2nd Edition). John Wiley & Sons, Chichester, England.
Gould, S. J., & Vrba, E. (1982). Exaptation: A missing term in evolutionary theory. Paleobiology, 8, 4--
15.
Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological
Review, 25(2), 161-178.
Graça, P.R., Gaspar, G., Using Cognition and Learning to Improve Agents’ Reactions. In: Adaptive
Agents and Multi-agent Systems, AISB2001-Agents and Cognition, 2001
Grady, J.E. (1997). THEORIES ARE BUILDINGS revisited. Cognitive Linguistics, 8(4), pp.267–290.
Grand, S., Creation: Life and How to Make It, Weidenfeld & Nicolson General; ISBN: 0297643916,
2000.
Grand, S., Creation: Life and How to Make It, Weidenfeld & Nicolson General; ISBN: 0297643916,
2000.
Gray, B., Soldiers, Agents and Wireless Networks: A Report on a Military Application, 2000
Green, C., Is AI the Right Method for Cognitive Science?, Christopher D. Green – Publication
http://www.yorku.ca/christo/papers/pubs.htm (Last accessed 25/3/2002), 2000
Greene, A. J., Spellman, B. A., Dusek, J. A., Eichenbaum, H. B., and Levy, W. B. (2001). Relational
learning with and without awareness: transitive inference using nonverbal stimuli in humans. Memory
& Cognition, 29(6):893-902.
Greeno, J.G., Natures of problem solving abilities. In: W.K. Estes (Ed). Handbook of Learning and
Cognitive Processes. (Vol. 5), Erlbaum, 1978.
Gregory, R. L. (1980) Choosing a Paradigm for Perception. In E.C. Carterette, M.P. Friedman (Eds).
Handbook of Perception (Vol. 1). Academic Press. New York.
Griffiths, P. E., Is emotion a natural kind? In Solomon, R., editor, Philosophers on Emotion. Oxford
University Press, 2002.
Guzzoni, D., Cheyer, A., Julia, L., and Konolige, K. (1997). Many robots make short work. AI Magazine,
18(1):55-64.
Gwatkin, J. (2005) Omnidirectional Vision in a Mobile Robot, Internal Report, Computer Science,
University of Hull, April 2005.
Halberstadt, J. Niedenthal, J. Kushner, J. (1995) Resolution of Lexical by Emotional State. Psychological
Science, 6(5), 278-282.
Halbwachs, M. (ET 1992). On collective memory. Chicago: University of Chicago Press.
Hameroff, S. & Penrose, R. (1996) Conscious events as orchestrated space-time selections. J. of
Consciousness Studies, 2, 36-53.
Hameroff, S. (1998) Quantum computation in brain microtubules? The Penrose-Hameroff Orch OR model
of consciousness. Philosophical Transactions Royal Society London A, 356, 1869-1896.
Hameroff, S., (2001) Consciousness, the brain, and spacetime geometry, Annals N.Y. Acad. Sci., 929, 74-
104.
Hanks, S., Pollack, M.E. and Cohen, P.R., Benchmarks, Test-beds, Controlled Experimentation, and the
Design of Agent Architectures, AI Magazine, 14(4):17-42, 1993.
Hargreaves, H., P. Shaun and Y. Varoufakis, Game Theory, A Critical Introduction. Routledge, 1995.
Harnad, S. (1990) The Symbol Grounding Problem. Physica D , 42:335--346.
Harnad, S. (1990). The symbol grounding problem. Physica, D 42, 335--346.
Harre, R. (1986). The social construction of emotions. Oxford: Blackwell.
Harre, R. (1992). Social being: A theory for social psychology. Oxford: Blackwell.
Harre, R., & Parrott, W. (1996). The emotions: Social, cultural and physical dimensions. London: Sage.
Hartley, R. & Pipitone, F. (1991). Experiments with the Subsumption Architecture. In Proceedings of the
IEEE International Conference on Robotics and Automation, pp.1652-1658.
Hartley, R. & Pipitone, F. 1991. Experiments with the Subsumption Architecture. In Proceedings of the
IEEE International Conference on Robotics and Automation, pp.1652-1658.
Haruyama & Nagahara, Basic techniques of GO. Ishi Press, 1992.
Hasemann, J.-M., Robot control architectures : application requirements, approaches and technologies,
Scandanavian Conf on AI, 1995.
Hasemann, J.M., Robot control architectures application requirements, approaches, and technologies. In:
SCIA 95, 1995
Hatfield, E., Cacioppo, J. T. & Rapson, R. L. (1994). Emotional contagion. Cambridge, England:
Cambridge University Press.
Hatfield, E., Cacioppo, J.T. & Rapson, R.L., (1994) Emotional Contagion, Cambridge University Press.
Haugeland, J. (1986). Artificial intelligence : The very idea. Cambridge MA: MIT Press.
Haugeland, J. (Ed.), Mind Design, MIT Press, ISBN 0-262-08110-5, 1981.
Hauser, M. D. (1999). Perseveration, inhibition and the prefrontal cortex: A new look. Current Opinion in
Neurobiology, 9:214-222.
Hawes, N. (2000). Real-time goal orientated behaviour for computer game agents, Proceedings of Game-
ON 2000, 1st International Conference on Intelligent Games and Simulation, pp. 71–75.
Hayes-Roth, B. (1990). Architectural foundations for real-time performance in intelligent agents. Journal
of Real-Time Systems, 2, 99-125.
Hayes-Roth, B. 1985, A Blackboard model of control. Artificial Intelligence, vol 26, pp 251-321.
Hayes-Roth, B. 1985, A Blackboard model of control. Artificial Intelligence, vol 26, pp 251-321.
Hayes-Roth, B., An Architecture for Adaptive Intelligent Systems. In: Special Issue on Agents and
Interactivity, Vol.72, pp.329-365, 1993
Hayes-Roth, B., Intelligent control. Artificial Intelligence, 59:213—220, 1993.
Hayes-Roth, B., Intelligent control. In : Artificial Intelligence, Special Retrospective Issue on Most
Frequently Cited AI, Journal Articles, 59, 1993, 211-218
Hayes-Roth, F., Erman, L., Terry, A., Hayes-Roth, B., Distributed Intelligent Control and Management :
Concept, Methods and Tools for Developing DICAM Applications. In : SEKE 92: Fourth
International Conference on Software Engineering and Knowledge Engineering, 1992
Haykin, S., (1998), Neural Networks: A Comprehensive Foundation, 2/e, Prentice-Hall, ISBN: 0-13-
273350-1
Haykin, S., Neural Networks, A Comprehensive Foundation, Macmillan Publishing Company, ISBN 0-
02-352761-7, 1994
Hebb, D. O. 1949. Organization of behavior. : John Wiley.
Hebb, D.O. Emotion in man and animal: an analysis of the intuitive process of recognition, Psychological
Review, 53, pp. 88-106, 1946.
Hegselmann R. & A. Flache (1998) Understanding complex social dynamics: A plea for cellular automata
based modelling. Journal of Artificial Societies and Social Simulation, vol. 1, no3.
Hegselmann R. and Flache, A., Understanding complex social dynamics: A plea for cellular automata
based modelling. Journal of Artificial Societies and Social Simulation, Vol. 1, No3, 1998.
Helbing, D. (1992) A fluid-dynamic model for the behaviour of pedestrians. Complex Systems, 6, 391-
415.
Helbing, D. (1995) Quantitative Sociodynamics, Dordrecht: Kluwer Academic, 1995.
Hemelrijk, C.K., Coperation without Genes, Games or Cognition. In: Husbands, P. and Harvey, I. (Eds.)
FourthEuropean Conference on Artificial Life, MIT Press, 1997.
Hemelrijk, C.K., Coperation without Genes, Games or Cognition. In: Husbands, P. and Harvey, I. (Eds.)
FourthEuropean Conference on Artificial Life, MIT Press, 1997.
Hendler, J.Developing hybrid symbolic/connectionist models. In J.A. Barnden and J.B. Pollack, editors,
Advances in Connectionist and Neural Computation Theory, Vol.1: High Level Connectionist Models,
pages 165-179. Ablex Publishing Corporation, Norwood, NJ, 1991.
Herrlich, H., & Strecker, G. E. (1973). Category theory. Allyn and Bacon.
Hewitt, C.E. Offices are Open Systems. ACM Trans. Office Info. Sys., 4, 271-287, 1986.
Hexmoor, H. & Kortenkamp, D. (1995). Issues on building software for hardware agents. Knowledge
Engineering Review, vol. 10, no. 3, pp. 301—304
Hexmoor, H. & Kortenkamp, D. 1995. Issues on building software for hardware agents. Knowledge
Engineering Review, vol. 10, no. 3, pp. 301-304
Hexmoor, H., Horswill, I., and Kortenkamp, D. (1997). Special issue: Software architectures for hardware
agents. Journal of Experimental & Theoretical Artificial Intelligence, 9(2/3).
Hideo, O. Opening theory made easy. Ishi Press, 1992.
Hiller Jr, L.A. and Isaacson, L.M., Experimental Music: Composition With An Electronic Computer,
McGraw-Hill, 1959.
Hobbs, J.R. (1990). Literature and cognition. Stanford University, CA: CSLI Press.
Hoffman, H. S. (1974) Fear-mediated processes in the context of imprinting. In M. Lewis & L. A.
Rosenblum (Eds.), The origins of fear (pp. 25-48). New York: John Wiley & Sons.
Hofstadter, D. R. (1985). Analogies and Roles in Human and Machine Thinking, In Metamagical Themas,
New York: Basic Books.
Hofstadter, D. , Godel, Escher, Bach : An Eternal Golden Braid, Penguin, 1979.
Hofstadter, D. R., and M. Mitchell. 1994. The Copycat Project: A model of mental fluidity and analogy-
making. In Advances in connectionist and neural computation theory, Vol. 2: logical connections, ed.
K. J. Holyoak, and J. A. Barnden. Norwood N.J.: Ablex.
Holland, J. H., Adaptation In Natural And Artificial Systems, MIT Press, ISBN 0-262-58111-6, 1994
Holland, O.; 2003; ed. Special issue on Machine Consciousness. Journal of Consciousness Studies. 10 (4-
5).
Holland, J. H. 1986. A Mathematical Framework for Studying Learning in Classifier Systems. Physica 22
D:307–317. (Also in Evolution, Games and Learning. Farmer, J. D., Lapedes, A., Packard, N. H., and
Wendroff, B. (eds.). NorthHolland (Amsterdam))
Honavar, V. and L.Uhr. Artificial Intelligence and Neural Networks: Steps Toward Principled Integration.
Academic Press, Cambridge, MA, 1994.
Hookway, C. & Peterson, D (eds.) Philosophy and Cognitive Science, RIofP Supplement 34,
Cambridge University Press, 1993
Hopcroft J.E. & Ullman J.D., Automata Theory, Langauges & Computation, Addison-Wesley, 1979.
Horswill, I. (1998). Grounding mundane inference in perception, Autonomous Robots.
Horswill, I. D. & Zubek, R. (1999). Robot architectures for believable game agents, Proceedings of the
1999 AAAI Spring Symposium on Artificial Intelligence and Computer Games.
Houghton, G. (1990). The problem of serial order: A neural network model of sequence learning and
recall. In R. Dale, C. Mellish, M. & Zock (Eds.), Current Research in Natural Language Generation
(pp. 287-319). London: Academic Press.
Houghton, G. 1990. The problem of serial order: A neural network model of sequence learning and recall.
In R. Dale, C. Mellish, M. & Zock (Eds.), Current Research in Natural Language Generation (pp. 287-
319). London: Academic Press.
http://jasss.soc.surrey.ac.uk/JASSS.html
http://jasss.soc.surrey.ac.uk/JASSS.html
Hubel, D. H. (1988). Eye, Brain and Vision. Freeman.
Hughes, G.E. and Cresswell, M.J., A New Introduction to Modal Logic, Routledge, 1996.
Hume, D. (1748). Philisophical Essays Concerning Human Understanding. Andrew Millar, London.
Humphrey, N. (1984). Consciousness regained. Oxford University Press.
Humphreys, G. W. & Forde, E. M. E. (1998). Disordered action schema and action disorganisation
syndrome. Cognitive Neuropsychology 15, 771-811.
Humphreys, G. W. & Forde, E. M. E. 1998. Disordered action schema and action disorganisation
syndrome. Cognitive Neuropsychology 15, 771-811.
Husbands P., I. Harvey, and D. Cliff, An evolutionary approach to situated AI, In A.Sloman, D.Hogg, G.
Humphreys, D. Partridge, A. Ramsay (eds.) Prospects for Artificial Intelligence, IOS Press,
Amsterdam, 61-70.
Husbands, P. and Harvey, I. (Eds.) Fourth European Conference on Artificial Life, MIT Press, 1997.
Husbands, P. and Harvey, I. (Eds.) Fourth European Conference on Artificial Life, MIT Press, 1997.
Husbands, P. and Harvey, I. (Eds.) Fourth European Conference on Artificial Life, MIT Press, 1997.
Hutchinson, R. R. (1972). The environmental causes of agression. In J. K. Coles & D. D. Jenson (Eds.),
Nebraska Symposium on Motivation 1972: Vol. 20 (pp. 155-181). Lincoln: University of Nebraska
Press.
Inhelder, B., & Piaget, J. (1958). The growth of logical thinking from childhood to adolescence. New
York: Basic Books.
Izard, C. E. (1993) Four Systems for Emotion Activation: Cognitive and Non-cognitive Processes.
Psychological Review. 100(1), 68-90.
Jackson, P. (1990). An Introduction To Expert Systems (2nd Edition). Addison-Wesley.
Jackson, J. V. 1987. Idea for a Mind. Siggart Newsletter, 181:23–26.
Jacobs, R.A., M.I. Jordan, and A.G. Barto. Task decomposition through competition in a modular
connectionist architecture: The what and where vision tasks. Cognitive Science, 15:219-250, 1991.
Jagannathan, V. Dodhiawala, R. & Baum, L.S. (1989) Blackboard Architectures and Applications.
Academic Press.
Jain, A.N., Parsec: A connectionist learning architecture for parsing spoken language. Technical Report
CMU-CS-91-208, Carnegie Mellon University, Pittsburgh, PA, 1991.
James, W. (1884) What is an Emotion? Mind. 9, 188-205
James, W. (1884) What is an Emotion? Mind. 9, 188-205
James, W. (1884). What is an emotion? Mind, 9, 188--205.
James, W. What is an Emotion? Mind. 9, 188-205, 1884.
Jang, J.-S.R., Sun, C.-T. & Mizutani, E. (1997) Neuro-Fuzzy and Soft Computing, Prentice-Hall.
Jannink, J. (1994). Cracking and Co-evolving randomList. In Kinnear, K.E. (ed.) Advances in Genetic
Programming, Cambridge, MA: MIT Press, 425-444.
Jauregui, J. (1995). The emotional computer. Oxford: Blackwell.
Jenkins, J.M., Oatley, K., Stein, N. L. (Eds), Human Emotions: A Reader, Blackwell Publishers, ISBN 0-
631-20748-1, 1998
Jennings, N. R. (1993). Commitments and conventions: The foundation of coordination in multi-agent
systems. Knowledge Engineering Review, 8, 223-250.
Johnson, V. S. 1999. Why We Feel: The Science of Human Emotions. Reading, MA: Perseus Books.
Johnson-Laird, P. N. & Oatley, K. (1989). The language of emotions: An analysis of a semantic field.
Cognition and Emotion, 3, 81-123.
Johnson-Laird, P.N., The Computer and the Mind, Fontana Masters Press, London, 1993.
Jones, G., Gobet, F., & Pine, J. M. (2000). Learning novel sound patterns. In N. Taatgen & J. Aasman
(Eds.), Proceedings of the Third International Conference on Cognitive Modelling (pp. 169-176).
Veenendaal, The Netherlands: Universal Press.
Jones, R., Laird, J., Tambe, M. & Rosenbloom, P. (1994). Generating behavior in response to interacting
goals, Proceedings of the 4th Conference on Computer Generated Forces and Behavioral
Representation.
Jurafsky, D., C.Wooters, G.Tajchman, J.Segal, A.Stolcke, E.Fosler, and N.Morgan. The Berkeley
Restaurant Project. In Proceedings of the International Conference on Speech and Language
Processing, pages 2139-2142, Yokohama, 1994.
Kacperski, K. & Holyst, J.A. (1999) Opinion formation model with strong leader and external impact: a
mean field approach. Physica A, 269, 511-526.
Kaebling L.P., An Architecture for Intelligent Reactive Systems, Readings in Planning, Morgan
Kaufmann, 1989.
Kaebling, L. P. & Rosenschein, S. J. (1994) Action and planning in embedded agents, in P. Maes (ed.),
Designing Autonomous Agents, MIT Press
Kaebling, L. P. & Rosenschein, S. J. (1994). Action and planning in embedded agents, in P. Maes (ed.),
Designing Autonomous Agents, MIT Press.
Kaebling, L. P. & Rosenschein, S. J. (1994). Action and planning in embedded agents, in P. Maes (ed.),
Designing Autonomous Agents, MIT Press.
Kaelbling, L.P., An Architecture for Intelligent Reactive Systems, Readings in Planning, Morgan
Kaufmann, 1989.
Kaelbling, L.P., An Architecture for Intelligent Reactive Systems, Readings in Planning, Morgan
Kaufmann, 1989.
Kambhampati C, Rajasekharan S, Decomposed Modelling and Control of Multi-Robot Systems -
International Journal of Robotics and Automation 16, (4):162-171,2001
Kambhampati C, Rajasekharan S, Decomposed Modelling and Control of Multi-Robot Systems -
International Journal of Robotics and Automation 16, (4):162-171,2001
Kanerva, P. 1988. Sparse Distributed Memory. Cambridge MA: The MIT Press.
Kant, I. (1785). Grounding for the metaphysics of morals. Indianapolis/Cambridge: Hackett Publishling
Company, Inc. 1992. (Translated by J.W. Ellington. Originally published as `Grundlegung zur
Metaphysik der Sitten')
Kaplan, D., & Glass, L. (1995). Understanding nonlinear dynamics. New York: Springer Verlag.
Karmiloff-Smith, A. (1992). Beyond Modularity: A Developmental Perspective on Cognitive Change.
MIT Press, Cambridge, MA.
Kauffman , Stuart , At home in the universe : the search for laws of self - organization and complexity,
London : Viking, 1995
Kauffman , Stuart , At home in the universe : the search for laws of self - organization and complexity,
London : Viking, 1995
Kauffman, T., Theoret, H., and Pascual-Leone, A. (2002). Braille character discrimination in blindfolded
human subjects. Neuroreport, 13(5):571-574.
Kelemen, A., Y. Liang, R. Kozma, and S. Franklin. 2002. Optimizing Intelligent Agent’s Constraint
Satisfaction with Neural Networks. In Innovations in Intelligent Systems, ed. A. Abraham, and B.
Nath. Heidelberg, Germany: Springer-Verlag,.
Kelly, K. Out of Control : The New Biology of Machines, Social Systems and the Economic World,
Perseus Pr; ISBN: 0201483408 , 1995.
Kerr, N. L. & Kaufman-Gilliland, C. M. (1994). Communication, commitment, and cooperation in social
dilemmas. Journal of Personality and Social Psychology, 66(3), 513-529.
Kiesler, C. A. (1971). The psychology of commitment: Experiments linking behavior to belief. New York
: Academic Press.
Kim, J. (1996) Philosophy of mind, Westview.
Kim, J. (1996) Philosophy of mind, Westview.
Kinny, D. and Georgeff, M. Modelling and design of multi-agent systems, Kluwer Academic Publishers,
1986.
Kitano, H., The RoboCup Synthetic Agent Challenge 97. In : Fifteen International Joint Conference on
Artificial Intelligence (IJCAI-97), 1997
Kleene, S.C. Introduction to Metamathematics, North-Holland Publishing Co, 1952.
Klinnert, M. D., Campos, J. J., Sorce, J. F., Emde, R. N. & Svejda, M. (1983). Emotions as behavior
regulators: Social referencing in infancy. In R. Plutchik & H. Kellerman (Eds.), Emotion: Theory,
research, and experience. Vol. 2. Emotions in early development (pp. 57-86). New York: Academic
Press.
Kobayashi, T., Nishijo, H., Fukuda, M., Bures, J., and Ono, T. (1997). Task-dependent representations in
rat hippocampal place neurons. JOURNAL OF NEUROPHYSIOLOGY, 78(2):597-613.
Kodratoff, Y. and Diettrich, T.G.Machine Learning, Morgan Kaufmann, 1990,
Kohler, T.A. and Gumerman, G.J., Dynamics in Human and Primate Societies: Agent Based Modeling of
Social and Spatial Processes, Santa Fe Institute Studies in the Sciences of Complexity, 2000.
Kohler, T.A. and Gumerman, G.J., Dynamics in Human and Primate Societies: Agent Based Modeling of
Social and Spatial Processes, Santa Fe Institute Studies in the Sciences of Complexity, 2000.
Konolige, K. A Deduction Model Of Belief, Morgan Kaufmann, 1986.
Konolige, K. and Myers, K. (1998). The Saphira architecture for autonomous mobile robots. In
Kortenkamp, D., Bonasso, R. P., and Murphy, R., editors, Artificial Intelligence and Mobile Robots:
Case Studies of Successful Robot Systems, chapter 9, pages 211-242. MIT Press, Cambridge, MA.
Konolige, K. Myers, K., Ruspini, E. & Saffiotti, A. (1997) The Saphira Architecture: A Design for
Autonomy, Journal of Experimental & Theoretical Artificial Intelligence, 9, 215-235
Kort, B., Reilly, R. and Picard, R., Analytical Models of Emotions, Learning, and Relationships: Towards
an Affective-sensitive Cognitive Machine, Proceedings of the Intelligent Tutoring Systems Conference
(ITS2002), pp.955-962, Biarritz, France, June 2002.
Kort, B., Reilly, R. and Picard, R., Analytical Models of Emotions, Learning, and Relationships: Towards
an Affective-sensitive Cognitive Machine, Proceedings of the Intelligent Tutoring Systems Conference
(ITS2002), pp.955-962, Biarritz, France, June 2002
Kortenkamp, D., Bonasso, R. P., & Murphy, R. (1998) Artificial Intelligence and Mobile Robots: Case
Studies of Successful Robot Systems. MIT Press, Cambridge, MA.
Kortenkamp, D., Bonasso, R. P., and Murphy, R., editors (1998). Artificial Intelligence and Mobile
Robots: Case Studies of Successful Robot Systems. MIT Press, Cambridge, MA.
Kosslyn, S.M., Information representation in visual images, Cognitive Pyscholology, 7, 341-370, 1975.
Kövecses, Z. (2000). Metaphor and emotion: Language, culture, and body in human feeling. Cambridge
University Press.
Kowalski, R.A. Logic For Problem Solving. North Holland, 1979.
Koza, J. R., Evolution of Subsumption Using Genetic Algorithm, NEC Research Index
http://citeseer.nj.nec.com/koza93evolution.html (Last accessed 25/3/2002), 1993
Koza, J. R., Genetic Programming. In: Encyclopedia of Computer Science and Technology, 1997
Koza, J.R. Genetic Programming II: Automatic Discovery of Reusable Programs., Cambridge, MA: MIT
Press, 1994.
Koza, J.R. Genetic Programming: On The Programming of Computers by Means of Natural Selection,
Cambridge, MA: MIT Press, 1992.
Koza, J.R., Bennett , F.H., Andre, D. & Keane, M.A. (1999). Genetic Programming: Biologically Inspired
Computation that Creatively Solves Non-Trivial Problems. In Landweber, L., Winfree, E. & Lipton, R.
(ed.) Proceedings of DIMACS Workshop on Evolution as Computation, Springer-Verlag, 15-44.
Krebs, D. (1987). The challenge of altruism in biology and psychology. In C. Crawford, M. Smith & D.
Krebs, (Eds.), Sociobiology and psychology: Ideas, issues and applications (pp. 81-118). Hillsdale, NJ:
Erlbaum.
Kripke, Semantic analysis of modal logic. Zeitschriftfur Mathematische Logick and Grundlagen der
Mathematik, 9, 67-96, 1963.
Kummer, H., Daston, L., Gigerenzer, G. & Silk, J. (1997). The social intelligence hypothesis. In Weingart
et. al (eds.), Human by Nature: between biology and the social sciences. Hillsdale, NJ: Lawrence
Erlbaum Associates, 157-179.
Kurzweil, R. 1990. The Age of Intelligent Machines. MIT Press, Cambridge, Massachusetts.
Kurzweil, R. 1990. The Age of Intelligent Machines. MIT Press, Cambridge, Massachusetts.
Kwasny, S.C., and K.A. Faisal. Connectionism and determinism in a syntactic parser. In N.Sharkey,
editor, Connectionist natural language processing, pages 119-162. Lawrence Erlbaum, 1992.
LaFrance, M. The Knowledge Acquisition Grid : a method for training knowledge engineers.
International Journal of Man-Machine studies, Vol 26, No7, 1987.
Laird, E. J., Newell A., and Rosenbloom P. S... 1987. SOAR: An Architecture for General Intelligence.
Artificial Intelligence 33:1–64.
Laird, J. & Duchi, J. (2000). Creating human-like synthetic characters with multiple skill levels: A case
study using the soar quakebot, AAAI Fall Symposium Series: Simulating Human Agents. 23
Laird, J. (2000). It knows what you’re going to do: Adding anticipation to a quakebot, AAAI 2000 Spring
Symposium Series: Artificial Intelligence and Interactive Entertainment, March 2000, Technical
Report SS-00-02.
Laird, J. E., Congdon, C. B., Altman, E. & Doorenbos, R. (1993). Soar User’s Manual, Version 6, 1 edn.
Laird, J. Newell, A. Rosenbloom, P. (1987) Soar: An Architecture for Intelligence. Artificial Intelligence,
33, 1-64.
Laird, J.E., Newell, A. and Rosenbloom, P.S. SOAR: An Architecture for General Intelligence, Artificial
Intelligence, 33, 1-64, 1987.
Lakemeyer G and Nebel B (eds), Foundations of Knowledge Representation & Reasoning, Berlin:
Springer-Verlag, 1994.
Lakemeyer, G. A computationally attractive first-order logic of belief. JELIA90:European Workshop on
Logics in AI, pp333-347, Springer-Verlag, 1991.
Lako#, G., & Johnson, M. (1999). Philosophy in the flesh: The embodied mind and its challenge to
western thought. New York: Basic Books.
Lakoff, G. & Johnson, M. (1980). Metaphors we live by. Chicago: University of Chicago Press.
Lakoff, G. (1993). The contemporary theory of metaphor. In A. Ortony (Ed.), Metaphor and Thought,
2nd ed. Cambridge, UK: Cambridge University Press.
Lane, P. C. R., & Gobet, F. (2001). Simple environments fail as illustrations of intelligence: A review of
R. Pfeifer and C. Scheier: 'Understanding Intelligence'. Artificial Intelligence, 127, 261-267.
Lane, P. C. R., Cheng, P. C.-H., & Gobet, F. (2000). CHREST+: Investigating how humans learn to solve
problems using diagrams. AISB Quarterly, 103, 24-30.
Lane, P. C. R., Sykes, A. K., & Gobet, F. (2003). Combining low-level perception with expectations in
CHREST. In Proceedings of EuroCogSci.
Langton C. (ed.) (1994) Artificial Life III, Addison-Wesley.
Langton C. (ed.) (1994) Artificial Life III, Addison-Wesley.
Larsen, R. J., Kasimatis, M. & Frey, K. (1992). Facilitating the furrowed brow: A nonobtrusive test of the
facial feedback hypothesis applied to unpleasant effect. Cognition and Emotion, 6(5), 321-338.
Lashley, K., Brain Mechanisms and Intelligence, New York, 1963.
Laventhol, J., Programming in POP-11, Blackwell Scientific Pub. Ltd., ISBN 0-632-01528-4, 1987
Lawvere, F. W. (1994). Tools for the advancement of objective logic: Closed categories and toposes. In J.
Macnamara & G. E. Reyes (Eds.), The logical foundations of cognition (pp. 43--55). Oxford
University Press.
Lawvere, F. W., & Schanuel, S. H. (1997). Conceptual mathematics. Cambridge University Press.
Lazarus, R. (1984) On the Primacy of Cognition. American Psychologist, 39, 124-129.
Lazarus, R. (1999) The Cognition and Emotion Debate: A Bit of History. In T. Dalgleish and M. Power
(Eds). Handbook of Cognition and Emotion. John Wiley and Sons. New York.
Le Doux, J. (1994a). Cognitive-Emotional Interactions in the Brain. In P. Ekman and R. Davidson (Eds).
Nature of Emotion. Oxford University Press. New York.
Le Doux, J. (1994b) Emotion, Memory and the Brain. Scientific American. June 1994.
LeDoux, J. (1994c) Memory Versus Emotional Memory in the Brain. In P. Ekman and R. Davidson (Eds).
Nature of Emotion. Oxford University Press. New York.
LeDoux, J. (1998). The emotional brain: The mysterious underpinnings of emotional life. New York:
Simon & Schuster.
Ledoux, J.E. (1994), Emotion, memory and the Brain. Scientific American, June 1994, 32-39.
Lee, M.G., & Barnden, J.A. (2001). Reasoning about mixed metaphors with an implemented AI system.
Metaphor and Symbol, 16(1&2), pp.29–42.
Lehman, J. F. Laird, J. Rosenbloom, P. (1998) A Gentle Introduction to Soar. In D. Scarborough & S.
Sternburg (Eds). Methods, Models and Conceptual Issues: An Invitation to Cognitive Science (2nd
Edition). MIT Press. Cambridge, Massachusetts.
Lemerise, E. A. & Dodge, A. D.(1993). The development of anger and hostile interactions. In M. Lewis &
J. M. Haviland (Eds.), Handbook of emotions (pp. 537-546). New York: The Guilford Press.
Leslie, A. M. (1987) Pretence and Representation: Origins of Theory of Mind. Psychological Review, 94,
412-426.
Lesperance, Y., H.J. Levesque, F. Lin, D. Marcu, R. Reiter and R.B. Scherl. Foundations of a Logical
Approach to Agent Programming. IJCAI-95 Workshop on Agent Theories, Architectures and
Languages, Montreal, pp. 276-281, 1995.
Levenson, R. W. & Ruef, A. M. (1992) Empathy: A physiological substrate. Journal of Personality and
Social Psychology, 63(2), 234-246.
Levenson, R.W. & Ruef, A.M. (1997) Physiological aspects of emotional knowledge and rapport, In:
Ickes, W.J. (Ed.) Emphatic Accuracy, New York: The Guilford Press, 1997, 44-72.
Levesque, H.J. A Model of Explicit and Implicit Belief. Procs. 4th. National Conference on A.I. (AAAI-
84), 94-99, 1984.
Levine, G. (1992). Constructions of the self. Rutgers University Press.
Levy S. (1992) Artificial Life. Jonathan Cape.
Levy S. (1992) Artificial Life. Jonathan Cape.
Levy, D. & Nail, P.R. (1993) Contagion: A theoretical and empirical review and reconceptualization,
Social and General Psychology Monographs, 119, 183-235.
Lewis, D. (1979). Psychobiology of active and inactive memory. Psychological Bulletin, 86, 1054-1083.
Lewis, M. & Haviland-Jones, J.M., Eds. (2000) Handbook of Emotions. Guilford Press.
Lewis, M. (1993). Self-conscious emotions: Embarrassment, pride, shame, and guilt. In M. Lewis & J. M.
Haviland (Eds.), Handbook of emotions (pp. 563-573). New York: The Guilford Press.
Lewis, R. L. (1999) Cognitive Modelling: Symbolic. In R. Wilson & F. Keil (Eds). The MIT
Encyclopaedia of the Cognitive Sciences. MIT Press. Cambridge, Massachusetts.
Lewis, R. L. (2001) Cognitive Theory, Soar. In N. Smelser & P. Baltes. International Encyclopaedia of
Social and Behavioural Sciences. Elsevier Science. Amsterdam,
Lewis, S. C. (2004), Computational Models of Emotion and Affect, PhD Thesis, Computer Science,
University of Hull, July 2004.
Lhermitte, F. (1983). Utilisation behaviour and its relation to lesions of the frontal lobes. Brain, 106, 237-
255.
Lhermitte, F. 1983. Utilisation behaviour and its relation to lesions of the frontal lobes. Brain, 106, 237-
255.
Liden, L. (2000). The integration of autonomous and scripted behavior through task management, AAAI
2000 Spring Symposium Series: Artificial Intelligence and Interactive Entertainment, March 2000,
Technical Report SS-00-02.
Liebrand, W.B.G., Nowak, A. & Hegselmann, R., Computer Modeling of Social Processes, SAGE
Publications, London, 1995.
Liebrand, W.B.G., Nowak, A. & Hegselmann, R., Computer Modeling of Social Processes, SAGE
Publications, London, 1995.
Lindsay, P. H. & Norman, D. A. (1972). Human information processing: An introduction to psychology.
New York: Academic Press.
Lipson, H., Antonsson, E. K., & Koza, J. R. (Eds.). (2003). Papers from the 2003 AAAI spring
symposium on computational synthesis: From basic building blocks to high level functionality.
Stanford, California.
Livesey, P. J. (1986). Learning and Emotion: A Biological Synthesis, volume 1 of Evolutionary Processes.
Lawrence Erlbaum Associates, Hillsdale, NJ.
Loftus, E. (1997). Creating false memories. Scientific American, 227 (3), 70-75.
Loftus, E., & Hoffman, H. (1989). Misinformation and memory, the creation of new memories. Journal of
Experimental Psychology: General, 118 (1), 100-104.
Lonstein, J. S. and Stern, J. M. (1997). Role of the midbrain periaqueductal gray in maternal nurturance
and aggression: c-fos and electrolytic lesion studies in lactating rats. Journal of Neuroscience,
17(9):3364-78.
Luger, F. and Stubberfield, W. A., Artificial Intelligence: Structures and Strategies for Complex problem
Solving 3/e, Benjamin Cummings, 1998
Lukasiewicz, J. (1967a). Manyvalued systems of propositional logic (1930). In S. McCall (Ed.), Polish
logic. Oxford University Press.
Lukasiewicz, J. (1967b). On 3valued logic (1920). In S. McCall (Ed.), Polish logic. Oxford University
Press.
Lutz, C. (1988). Ethnographic perspectives on the emotion lexicon. In V. Hamilton, G. H. Bower & N. H.
Frijda (Eds.), Cognitive perspectives on emotion and motivation (pp. 399-419). Dordrecht: Kluwer.
Lutz, T. (2001). Crying: The natural and cultural history of tears. New York: W. W. Norton & Company.
MacGregor, R.J. Neural and Brain Modeling, Academic Press, 1987
MacLane, S. (1972). Categories for the working mathematician. SpringerVerlag.
MacLean, P. D. (1993). Cerebral evolution of emotion. In M. Lewis & J. M. Haviland (Eds.), Handbook
of emotions (pp. 67-83). New York: The Guilford Press.
Maclin, R. Learning from Instruction and Experience: Methods for Incorporating Procedural Domain
Theories into Knowledge-Based Neural Networks. PhD thesis, Department of Computer Sciences,
University of Wisconsin-Madison, 1995. (Also appears as UW CS-TR-95-1285).
Maes P., (1989), How to do the right thing, Connection Science, Vol. 1.
Maes, P. (1991). The agent network architecture (ANA). SIGART Bulletin, 2(4), 115-120.
Maes, P. (Ed), Designing Autonomous Agents, MIT Press, 1990.
Maes, P. (Ed), Designing Autonomous Agents, MIT Press, 1990.
Maes, P. (Ed.) (1991). Designing autonomous agents: Theory and practice from biology to engineering
and back. Cambridge: MIT Press.
Maes, P. (Eds), Designing Autonomous Agents, MIT Press, ISBN 0-262-63135-0, 1990
Maes, P. 1991. The agent network architecture (ANA). SIGART Bulletin, 2(4), 115-120.
Maes, P. Agents that reduce work and information overload. Comms. ACM 37(7):31-40, 1994.
Maes, P. The agent network architecture (ANA). SIGART Bulletin, 2, 115-120, 1991.
Maes, P. The agent network architecture (ANA). SIGART Bulletin, 2, 115-120, 1991.
Maes, P., Artificial Life meets Entertainment: Lifelike Autonomous Agents. In: Special Issue on New
Horizons of Commercial and Industrial AI, Vol. 38, No.11, pp. 108-114, 1995
Maes, P., How to do the right thing, Connection Science, Vol. 1, 1989.
Maes, P. 1989. How to do the right thing. Connection Science 1:291–323.
Magnan, F., & Reyes, G. E. (1994). Category theory as a conceptual tool in the study of cognition. In J.
Macnamara & G. E. Reyes (Eds.), The logical foundations of cognition (pp. 57--90). Oxford
University Press.
Malatesta, C. Z. & Haviland, J. M. (1982). Learning display rules: The socialization of emotion
expression in infancy. Child Development, 53, 991-1003.
Malcolm, C., Smithers, T., and Hallam, J. (1989). An emerging paradigm in robot architecture. In
Proceedings of the International Conference on Intelligent Autonomous Systems (IAS), volume 2,
pages 545-564, Amsterdam. Elsevier.
Marsden, P. (1998) Memetics and social contagion: two sides of the same coine, J. of Memetics, 2.
Matari, M.J., Studying the role of embodiment in cognition, Cybernetics and Systems, 28(6), 457-470,
1997.
Matari, M.J., Studying the role of embodiment in cognition, Cybernetics and Systems, 28(6), 457-470,
1997.
Mataric, M. J. (1990). A distributed model for mobile robot environment-learning and navigation.
Technical Report 1228, Massachusetts Institute of TechnologyArtificial Intelligence Lab, Cambridge,
Massachusetts.
Mateas, M. (2002) Oz Project Home Page [Online]. www-2.cs.cmu.edu
/afs/cs.cmu.edu/project/oz/web/oz.html. [Accessed August 10th 2003].
Maturana, R. H., and F. J. Varela. 1980. Autopoiesis and Cognition: The Realization of the Living,
Dordrecht. Netherlands: Reidel.
Maturana, H. R. 1975. The Organization of the Living: A Theory of the Living Organization. International
Journal of Man-Machine Studies 7:313–332.
Mayne, T.J. & Ramsey, J. (2001) The structure of emotions: A nonlinear dynamic systems approach In:
Mayne, T.J. & Bonanno, G. (Eds), Emotions: Currrent Issues and Future Directions. Emotions and
Social Behavior. Guilford Press, 1-37.
McCarthy (2002) Deterministic Free will. http://www-formal.stanford.edu/jmc/freewill2.htm
McCarthy J., 1995, Making Robots Conscious of their Mental States. Machine Intelligence 15, Oxford.
McCarthy, J. and Hayes, P. Some philosophical problems from the standpoiunt of artificial intelligence,
Machine Intelligence 4, pp: 463-502,
McCarthy, John, Basic Questions (created on 4/4/2000), http://www-
formal.stanford.edu/jmc/whatisai/node1.html (Last accessed 4/1/2001)
McCauley, T. L., and S. Franklin. 1998. An Architecture for Emotion. In AAAI Fall Symposium
Emotional and Intelligent: The Tangled Knot of Cognition. Menlo Park, CA: AAAI Press.
McClelland, J. L., & Jenkins, E. (1991). Nature, nurture and connections: Implications of connectionist
models for cognitive development. In K. VanLehn (Ed.), Architectures for intelligence. Hillsdale, NJ:
Erlbaum.
McFarland, D., Animal Behaviour, Addison Wesley Longman, 1993.
McGraw, K. M. (1987). Guilt following transgression: An attribution of responsibility approach. Journal
of Personality and Social Psychology, 53(2), 247-256.
McMullin, B.& Varela, F.J. (1997) Rediscovering computational autopoiesis. SFI Working Paper
Working Papers 97-02-012, Santa Fe Institute.
McPhail, C. (1991) The Myth of the Madding Crowd, Aldine de Gruyter.
Mead, G. H. (1934). Mind, self, and society from the standpoint of a social behaviorist. Chicago: The
University of Chicago Press.
Mealey, L. (1995). The sociobiology of sociopathy: An integrated evolutionary model. Behavioral and
Brain Sciences, 18, 523-599.
Medin, D. L., & Smith, E. E. (1981). Strategies and classification learning. Journal of Experimental
Psychology: Human Learning and Memory, 7, 241-253.
Medsker, L.R. Hybrid Intelligent Systems. Kluwer Academic Publishers, Boston, 1995.
Mele, A.R., Autonomous Agents: From Self-Control to Autonomy, Oxford University Press, 1995.
Mele, A.R., Autonomous Agents: From Self-Control to Autonomy, Oxford University Press, 1995.
Merleau-Ponty, M., The Structure of Behaviour, Methuan:London, (ET 1965), 1942.
Michalski R S, Carbonell J G, Mitchell T M Machine Learning, Volumes I, II and III Springer Verlag,
1983, 1986, 1991
Michaud, F. 2002. EMIB – Computational Architecture Based on Emotion and Motivation for Intentional
Selection and Configuration of Behaviour-Producing Modules, Cognitive Science Quarterly (2002) 1.
Michie, D & Johnston, R. (1994) The Creative Computer. Viking Press.
Michie, D. Machine Learning: neural and statistical classification, Ellis Horwood, 1994 : 006.31;1
Middleton, D., & Edwards, D. (1990). Collective remembering. London: Sage.
Miikkulainen, R. Subsymbolic Natural Language Processing. MIT Press, Cambridge, MA, 1993.
Milner, B. (1963). Effects of different brain lesions on card sorting. Archives of Neurology, 9, 990-100.
Milner, B. 1963. Effects of different brain lesions on card sorting. Archives of Neurology, 9, 990-100.
Mink, J. W. (1996). The basal ganglia: focused selection and inhibition of competing motor programs.
Progress In Neurobiology, 50(4):381-425.
Minsky, M. (1985). The Society of Mind. Simon and Schuster Inc., New York, NY.
Minsky, M. (1985).The society of mind. New York: Simon & Schuster.
Minsky, M. (1988) The Society of Mind. Simon and Schuster. New York.
Minsky, M. (1988) The Society of Mind. Simon and Schuster. New York.
Minsky, M. A Framework for Representing Knowledge.
Minsky, M. L. (1986). Society of Mind. New York: Simon and Schuster
Minsky, M. L. (1986). Society of Mind. New York: Simon and Schuster.
Minsky, M. L. 1986. Society of Mind. New York: Simon and Schuster.
Minsky, M., Future Models for Mind-Machines, In: SYMPOSIUM on How to Design a Functioning Mind,
AISB 2000 Convention, 2000
Minsky, M.L. (1988) The Society of Mind, Simon and Schuster.
Minsky, M.L. 1987. The society of Mind. William Heinemann Ltd., London.
Minsky, M.L. 1987. The society of Mind. William Heinemann Ltd., London.
Minsky, M.L., An architecture for a society of mind, Proceedings of the AISB’00 Symposium on How to
Design a Functioning Mind, April 2000.
Minsky, M.L., Computation: Finite and Infinite Machines, Prentice-Hall, 1972.
Minsky, M.L., The Society of Mind, William Heinemann Ltd., 1987.
Minsky, M.L., The Society of Mind, William Heinemann Ltd., 1987.
Minsky, M.L., The Society of Mind, William Heinemann Ltd., 1987.
Minsky, M. 1985. The Society of Mind. New York: Simon and Schuster.
Mio, J.S. & Katz, A.N. (Eds) (1996). Metaphor: Implications and applications. Mahwah: N.J.:
Lawrence Erlbaum
Mio, J.S. (1997). Metaphor and politics. Metaphor and Symbol, 12(2), pp.113–133.
Mitchell, T.M. Machine Learning, McGraw-Hill, 1997.
Mitchell, T.M., Carbonell, J.G. and Michalski, R.S., Machine Learning: Current Research,
Moffat D., R.H.. Phaf, and N. Frijda, Analysis of a model of emotions, In A.Sloman, D.Hogg, G.
Humphreys, D. Partridge, A. Ramsay (eds.) Prospects for Artificial Intelligence, IOS Press,
Amsterdam, 219-228.
Moffat, D. Frijda, N. Phaf, R. (1993) Analysis of a Model of Emotions. In A. Sloman, D. Hogg, G.
Humphreys, A. Ramsay (Eds). Prospects for Artificial Intelligence, 219-228, IOS Press, Amsterdam.
Moore, R.C. Logic and Representation, CSLI Publications, 1995.
Moravec, H. P. (1982). The Stanford Cart and the CMU Rover. Proceedings of the IEEE, 71(7), 872-884.
Moravec, H. P. 1982. The Stanford Cart and the CMU Rover. Proceedings of the IEEE, 71(7), 872-884.
Morgan, R.L. & Heise, D. (1988) Structure of emotions, Social Psychology Quarterly, 51, 19-31.
Motta, E., Rajan, T., Domingue, J. & Eisenstadt, M. What Should Knowledge Engineers Do? The KEATS
Approach To Knowledge Engineering. Methods of Knowledge Acquisition and Integration of
Knowledge Based Systems Applications, pp 51-71, Jan. 1990, Unicom.
Mozer, M.C. and S.Das. A connectionist symbol manipulator that discovers the structure of context-free
languages. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information
Processing Systems 5, pages 863-870. Morgan Kaufmann, San Mateo, CA, 1993.
Muller J.P., M.J. Wooldridge & N.R. Jennings (Eds.), Intelligent Agents III, Springer-Verlag, Heidelberg,
1996.
Muller J.P., M.J. Wooldridge & N.R. Jennings (Eds.), Intelligent Agents III, Springer-Verlag, Heidelberg,
1996.
Muller J.P., The Design of Intelligent Agents, Springer-Verlag, Heidelberg, 1996.
Muller J.P., The Design of Intelligent Agents, Springer-Verlag, Heidelberg, 1996.
Murphy, R., Using Robot Competitions to Promote Intellectual Development. In: AI Magazine, Volume
21, No.1, 2000
Muscettola, N. Nayak, P., Pell B. & Williams, B. (1998). Remote Agent: to boldly go where no AI system
has gone before. Artificial Intelligence 103(1-2):5-48.
Muscettola, N. Nayak, P., Pell B. & Williams, B. 1998. Remote Agent: to boldly go where no AI system
has gone before. Artificial Intelligence 103(1-2):5-48.
Nadel, Cooper, Culivcover & Harnish Neural Connections and Mental Computation, MIT/Bradford, 1989
Nadel, Cooper, Culivcover & Harnish Neural Connections and Mental Compuatation, MIT/Bradford,
1989
Nader, K. (2003). Memory traces unbound. Trends in Neurosciences, 26 (2), 65-72.
Nagahara, Y (5-Dan), Strategic concepts of GO, Ishi Press, 1972.
Narayanan, S. (1997). KARMA: Knowledge-based action representations for metaphor and aspect. Ph.D.
thesis, Computer Science Division, EECS Department, University of California, Berkeley, August
1997.
Negatu, A., and S. Franklin. 2002. An action selection mechanism for 'conscious' software agents.
Cognitive Science Quarterly 2:363-386.
Nehmzov, U. and Owen, C. Robot navigation in the real world: Experiments with Manchester's FortyTwo
unmodified, Large environments - Robotics and Autonomous Systems 2000, 33(4), 233-242
Neisser, U. (1966). Cognitive psychology. New York: Appleton-Century-Crofts.
Neisser, U., & Fivush, R. (1994). The remembering self: Construction and accuracy in the self-narrative.
Cambridge University Press.
Nelson, H. E. (1976). A modified card sorting test sensitive to frontal lobe defects. Cortex, 12(4), 313-
324.
Nelson, H. E. 1976. A modified card sorting test sensitive to frontal lobe defects. Cortex, 12(4), 313-324.
Nesse, R. M. (Ed.) (2001). Evolution and the capacity for commitment. New York: Russell Sage Press.
network”. IEEE Computer, March 1988, 77—88.
network”. IEEE Computer, March 1988, 77—88.
Newell, A. (1990) Unified Theories of Cognition. Harvard University Press. Cambridge, Massachusetts
Newell, A. (1990). Unified Theories of Cognition. Cambridge MA.: Harvard University Press.
Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
Newell, A. (1990). Unified Theories of Cognition. Harvard University Press, Cambridge, Massachusetts.
Newell, A. and H.A. Simon, GPS, a program that simulates human thought. In: Computers and Thought,
E.A. Feigenbaum and J. Feldman (Eds.), McGraw-Hill, 1963.
Newell, A. and H.A. Simon, Human Problem Solving. Prentice-Hall, 1972.
Newell, A. Simon, H (1976) Computer Science as Empirical Inquiry: Symbols and Search.
Communications of the ACM, 19, 113-126.
Newell, A., Unified Theories of Cognition, Harvard University Press, 1990.
Newell, A., Unified Theories of Cognition, Harvard University Press, 1990.
Newell, A., Unified Theories of Cognition, Harvard University Press, 1990.
Newquist, H.P. The Brain Makers: Genius, Ego and Greed in the Quest for Machines that Think, Sams
Publishing, 1994.
Nieuwenhuys, R., J. Voogd and Chr. van Huijzen. The Human Central Nervous System: A Synopsis and
Atlas. Springer-Verlag, 1988.
Nilsson N.J.(1994) Teleo-reactive programs for agent control, Journal of Artificial Intelligence Research
1:139-158.5.
Nilsson, N, Shakey the Robot, Technical Note 323, SRI Internal, Menlo Park, CA, 1984.
Nilsson, N. (1994). Teleo-reactive programs for agent control, Journal of Artificial Intelligence Research
1: 139–158.
Nilsson, N. 1998. Artificial Intelligence : A New Synthesis. Morgan Kaufmann, San Francisco.
Nilsson, N. 1998. Artificial Intelligence : A New Synthesis. Morgan Kaufmann, San Francisco.
Nilsson, N. 1998. Artificial Intelligence : A New Synthesis. Morgan Kaufmann, San Francisco.
Nilsson, N. J. (1984). Shakey the Robot. SRI AI Center technical note 323.
Nilsson, N. J. 1984. Shakey the Robot. SRI AI Center technical note 323.
Nilsson, N., Rumelhart, D., Approaches to Artificial Intelligence, 1993
Nilsson, N.J, Teleo-reactive programs for agent control, Journal of Artificial Intelligence Research 1,
1994.
Nilsson, N.J., Artificial Intelligence: a new synthesis, Morgan Kaufmann Publishers, 1998.
Nilsson, N.J., Artificial Intelligence: A New Synthesis, Morgan Kaufmann, 1998.
Nilsson, N.J.. 1984. Shakey the robot. Technical Report 323, SRI AI Center.
Nilsson, N.J.. 1984. Shakey the robot. Technical Report 323, SRI AI Center.
Norman, D. (1985) Twelve Issues in Cognitive Science. In A. M. Aikenhead, J. M. Slack (Eds). Issues in
Cognitive Modelling. Lawrence Erlbaum Associates, New Jersey.
Norman, D. A. & Shallice, T. 1986. Attention to action: Willed and automatic control of behaviour. In R.
J. Davidson, G. E. Schwartz, & D. Shapiro (Eds.) Consciousness and self-regulation, Vol. 4 (pp. 1-18).
New York: Plenum Press. 1986.
Norman, D.A., Twelve issues for cognitive science, Cognitive Science, 4:1-33, 1980.
Norman, T.J., Position paper: Motivated Goal and Action Selection, In: Models or Behaviours, which way
forward for robotics?, AISB workshop, 1994
Nowak, A., Szamrej, J. & Latane, B. (1990) From private attitude to public opinion: a dynamic theory of
social impact. Psychological Review, 97, 362-376.
Nunes, H. A., Investigation of Motivation in Agents Using Five-Aside Football, MSc Thesis, Department
of Computer Science, University of Hull, April 2002.
Nunes, H. A., Investigation of Motivation in Agents Using Five-Aside Football, MSc Thesis, Department
of Computer Science, University of Hull, April 2002.
Nunes, H.A. (2001) Investigation of Motivation in Agents Using Five-Aside Football, MSc Research
Thesis, Computer Science, University of Hull, November, 2001.
Nunes, H.A., Investigation of Motivation in Agents Using Five-Aside Football, M.Sc. Thesis, Department
of Computer Science, University of Hull, 2001.
Oatley, K. & Johnson-Laird, P. N. (1996). The communicative theory of emotions: Empirical tests, mental
models, and implications for social interaction. In L. L. Martin & A. Tesser (Eds.), Striving and
feeling. Interactions among goals, affect and self-regulation (pp. 363-393). Hillsdale, NJ: Erlbaum.
Oatley, K. and Jenkins, J.M, 1996, Understanding Emotions, Blackwell Publishers; ISBN: 1557864950
Oatley, K. Brain Mechanisms and the Mind, Thames and Hudson, 1972.
Oatley, K., 1992, Best Laid Schemes : The Psychology of Emotions (Studies in Emotion and Social
Interaction), Cambridge University Press; ISBN: 0521410371
Öhman, A. (1986). Face the beast and fear the face: Animal and social fears as prototypes for evolutionary
analyses of emotion. Psychophysiology, 23, 123-145.
Öhman, A. (1993). Fear and anxiety as emotional phenomena: clinical phenomenology, evolutionary
perspectives, and information-processing mechanisms. In M. Lewis & J. M. Haviland (Eds.),
Handbook of emotions (pp. 511-536). New York: The Guilford Press.
Omlin, C.W. and C.L. Giles. Extraction of rules from discrete-time recurrent neural networks. Neural
Networks, 9(1):41-52, 1996.
Ornstein, R.E. The Psychology of Consciousness, ISBN: 0140195203, Penguin Books, 1996
Ornstein, R. 1986. Multimind. Boston: Houghton Mifflin.
Ortony, A. Clore, G. Collins, A. (1988) The Cognitive Structure of Emotions. Cambridge University Press.
Cambridge, England.
Ortony, A., Clore, G. L. & Collins, A. (1988). The cognitive structure of emotions. Cambridge, England:
Cambridge University Press.
Ortony, A., Clore, G., & Collins, A. (1990). The cognitive structure of emotions. Cambridge University
Press.
Ortony, A., Clore, G.L. & Collins, A., The Cognitive Structure of Emotions. Cambridge University Press,
1988
Ortony, A., Clore, G.L. and Collins, A., The Cognitive Structure of Emotions. Cambridge University
Press, 1988
Ortony, A., G.L. Clore and A. Collins, The Cognitive Structure of Emotions. Cambridge University Press,
1988.
Ortony, A., G.L. Clore and A. Collins, The Cognitive Structure of Emotions. Cambridge University Press,
1988.
Ott, E. (1993). Chaos in dynamical systems. Cambridge University Press.
Oyama, S. (1985). The ontogeny of information. Cambridge University Press.
Paiva, A. and Martinho, C. (Eds.) Training a Football Playing Robot Using Emotion Based Learning
Architecture. In: Affect in Interactions Workshop Proceedings, Section 2: Architectures and Theories
in Motion, 1999
Panksepp, J. (1991). Affective neuroscience: A conceptual framework for the neurobiological study of
emotions. In K. T. Strongman (Ed.), International Review of Studies on Emotion: Vol. 1 (pp. 59-99).
New York: John Wiley & Sons.
Panksepp, J. 1998. Affective Neuroscience. Oxford: Oxford University Press.
Parnas, D. L., Clements, P. C., and Weiss, D. M. (1985). The modular structure of complex systems. IEEE
Transactions on Software Engineering, SE-11(3):259-266.
Partridge, D. & Hussain, K.M. (1995) Knowledge-Based Information Systems. McGraw-Hill.
Perner, J. Wimmer, H. (1985) “John thinks that Mary thinks that…” Attribution of Second-Order Beliefs
by 5-10 Year-Old Children. Journal of Experimental Child Psychology. 39, 437-471.
Perrett, D. I., Hietanen, J. K., Oram, M. W., and Benson, P. J. (1992). Organisation and functions of cells
responsive to faces in the temporal cortex. Philosophical Transactions of the Royal Society of London,
335:25-30.
Perruchet, P., & Pacteau, C. (1990). Synthetic grammar learning: Implicit rule abstraction or explicit
fragmentary knowledge? Journal of Experimental Psychology: General, 199, 264-275.
Peterson, D. (Ed.), Forms of Representation, Intellect Books, 1996.
Pfeifer, R. Scheier, C. (1999) Understanding Intelligence. MIT Press, Cambridge, Massachusetts.
Pfeifer, R. Scheier, C. (1999) Understanding Intelligence. MIT Press, Cambridge, Massachusetts.
Pfeifer, R., & Scheier, C. (1999). Understanding intelligence. Cambridge: MIT Press.
Piaget, J. (1926). La representation du monde chez l'enfant. Paris: Presses Universitaires de France.
Piaget, J. (1970). L'épistémologie génétique. Paris: PUF.
Picard, R. (1997) Affective Computing. MIT Press. Cambridge, Massachusetts.
Picard, R. (1997). A_ective computing. Cambridge MA: MIT Press.
Picard, R. (2000) Affective Computing: MIT Media Lab. [Online] http://affect.media.mit.edu/. [Accessed
1st August 2001]
Picard, R. 1997. Affective Computing. Cambridge MA: The MIT Press.
Pierce, B. C. (1991). Basic category theory for computer scientists. MIT Press.
Pine, J. (1995). First verbs and what they tell us. First Language, 15, 77-101.
Pinkava, V.Introduction To Logic For Systems Modelling. Abacus Press, 1988.
Pinker, S. 1997. How the Mind Works. New York: W. W. Norton & Company.
Pirjanian P - Behaviour Coordination Mechanism Tech Report IRIS-99-375, Institute for Robotics and
Intelligent Systems, University of Southern California, Los Angeles CA, U.S.A
Pirjanian P - Behaviour Coordination Mechanism Tech Report IRIS-99-375, Institute for Robotics and
Intelligent Systems, University of Southern California, Los Angeles CA, U.S.A
Planalp, S. (1999) Communicating Emotion, Cambridge University Press.
Platinga, T. (1992). How memory shapes narratives. Lampeter: Mellen.
Plewczy_ski, D. (1998) Landau theory of social clustering. Physics A, 261, 608-617.
Plutchik, R. (1994) The Psychology and Biology of Emotion. Harper Collins. New York.
Plutchik, R. (1994) The Psychology and Biology of Emotion. Harper Collins. New York.
Plutchik, R. The Psychology and Biology of Emotion. Harper Collins. New York, 1994.
Pollack, J.B. On connectionist models of natural language processing. Technical Report PhD thesis,
Technical Report MCCS-87-100, New Mexico State University, Las Cruces, NM, 1987.
Pollack, M., Plan Generation, Plan Management, and the Design of Computational Agents. In:
Proceedings of the 3rd International Conference on Multi-Agent Systems (ICMAS), 1998
Polya,. G., How to Solve It. Princeton University Press, 1945.
Poole, D., Mackworth, A.K., and Goebel, R. 1998. Computational Intelligence : A logical approach.
Oxford University Press, Oxford, U.K.
Poole, D., Mackworth, A.K., and Goebel, R. 1998. Computational Intelligence : A logical approach.
Oxford University Press, Oxford, U.K.
Popkin R.H. & A. Stroll, Philosophy (3/e), Reed Elsevier plc, ISBN: 0750609427, 1993
Popkin, R.H. and Stroll, A. Philosophy (Third Edition), Athenaeum Press, 1993.
Port R.F., Van Gelder T. (Editors), Mind As Motion : Explorations in the Dynamics of Cognition MIT
Press; ISBN: 0262661101, 1998.
Posner, M., Foundations of Cognitive Science, MIT Press, 1989
Potter, J. (1996). Representing reality: Discourse, rhetoric and social construction. London: Sage.
Power, M. and Dalgleish, T., Cognition and Emotion, LEA Press, 1997
Power, M. and T. Dalgleish, Cognition and Emotion, LEA Press, 1997.
Prem, E. 1997. ed. Epistemological Aspects of Embodied Artificial Intelligence. Cybernetics and Systems.
28(5&6).
Provine, R. R. (2000). Laughter: A scientific investigation. New York: Penguin Books.
Pylyshyn, Z. Computation and Cognition: Toward a Foundation for Cognitive Science, Cambridge, MA,
A Bradford Book, 1984.
Quillian, J.R. Semantic Memory. In: Minsky, M. Semantic Information Processing, MIT Press, 1968.
Quinlan, P.T. Connectionism and Pyschology, Harvester & Wheatsheaf, 1991:
Raijmakers, M., van Koten, S., & Molenaar, P. (1996). On the validity of simulating stagewise
development by means of PDP networks: Application of catastrophe analysis and an experimental test
of rule-like network performance. Cognitive Science, 20, 101-136.
Rao, A.S. & Georgeff, M.P. Asymmetry thesis and side-effect problems in linear time and branching time
intention logics. IJCAI-91, 498-504, 1991.
Rao, A.S. and Georgeff, M.P. (1991) “Modeling Agents Within a BDI-Architecture”. In R. Fikes and E.
Sandewall (eds.) Proceedings of the 2nd International Conference on Principles of Knowledge
Representation and Reasoning, Morgan Kaufmann Publishers: Cambridge, MA, 473—484.
Rao, A.S. and Georgeff, M.P. (1991) “Modeling Agents Within a BDI-Architecture”. In R. Fikes and E.
Sandewall (eds.) Proceedings of the 2nd International Conference on Principles of Knowledge
Representation and Reasoning, Morgan Kaufmann Publishers: Cambridge, MA, 473—484.
Rapaport, W. (1998) Cognitive Science. In A. Ralston, E. Reilly, D. Hemmindinger (Eds), Encyclopaedia
of Computer Science (4th Edition). Van Nostrand Reinhold. New York.
Reader, J. (1988) Man on Earth. London: Collins.
Reason, J. T. (1984). Lapses of attention in everyday life. In W. Parasuraman and R. Davies (eds)
Varieties of Attention, pp. 515-549. Orlando, FL: Academic Press.
Reason, J. T. 1984. Lapses of attention in everyday life. In W. Parasuraman and R. Davies (eds) Varieties
of Attention, pp. 515-549. Orlando, FL: Academic Press.
Reber, A. S. (1967). Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal
Behaviour, 6, 855-863.
Redgrave, P., Prescott, T. J., and Gurney, K. (1999). The basal ganglia: a vertebrate solution to the
selection problem? Neuroscience, 89:1009-1023.
Reilly, R.G. and N.E. Sharkey. Connectionist Approaches to Natural Language Processing. Lawrence
Erlbaum Associates, Hillsdale, NJ, 1992.
Reilly, W S. Bates, J. (1993) Emotion as Part of a Broad Agent Architecture. In WAUME 93: Workshop
on Architectures Underlying Motivation and Emotion. University of Birmingham, England.
Reilly, W.S. Bates, J. (1992) Building Emotional Agents. Technical Report CMU-CS-92-143, School of
Computer Science, Carnegie Mellon University, USA. May 1992.
Revelle, W., Personality Processes. Annual Review of Psychology, 46, 295-328., 1995.
Rich, E. & K.Knight. Artificial Intelligence (Second Edition), MsGraw-Hill, 1991
Richman, H. B., Gobet, F., Staszewski, J. J., & Simon, H. A. (1996). Perceptual and memory processes in
the acquisition of expert performance: The EPAM model. In K. A. Ericsson (Ed.), The road to
excellence. Mahwah: Erlbaum.
Richman, H. B., Staszewski, J., & Simon, H. A. (1995). Simulation of expert memory with EPAM IV.
Psychological Review, 102, 305-330.
Ringland, G.A. & Duce, D.A. Approaches to Knowledge Representation : An Introduction, Wiley, 1988.
Ritter, F.E. Young, R.M. (2001) Embodied Models as Simulated Users. International Journal of Human-
Computer Studies, 55, 1-14.
Robert Trappl, R. and Petta, P. (Eds.), Creating Personalities for Synthetic Actors: Towards Autonomous
Personality Agents, Berlin: Spinger-Verlag, 1997, Paper: ISBN 3-540-62735-9
Robinson, J. A. (1979). Logic: Form and function. NorthHolland.
Rolls, E.T., The Brain and Emotion, Oxford University Press, 1999.
Rolls, E.T., The Brain and Emotion, Oxford University Press, 1999.
Rolls, E. T. 1999. The Brain and Emotion. Oxford: Oxford University Press.
Rorty, R. (1980). Philosophy and the mirror of nature. Oxford: Blackwell and Princeton, N.J.: Princeton
University Press.
Roseman, I. J., Aliki Antoniou, A. & Jose, P. E. (1996). Appraisal determinants of emotions: Constructing
a more accurate and comprehensive theory. Cognition and Emotion, 10(3), 241-277.
Rosenblum, L. A. & Alpert, S. (1974) Fear of strangers and specificity of attachment in monkeys. In M.
Lewis & L. A. Rosenblum (Eds.), The origins of fear (pp. 165-193). New York: John Wiley & Sons.
Rosenschein, S. (1985). Formal theories of knowledge in AI and robotics. New Generation Computing,
pages 345-357.
Russell, and Norvig, P. 2003. Artificial Intelligence : A Modern Approach (Second edition), Prentice Hall.
Russell, B. The Problems of Philosophy, Oxford University Press, 1912.
Russell, B., The Analysis of Mind, Unwin Books, 1921.
Russell, J.A. (1980) A circumplex model of affect, J of Personality and Social Psychology, 36, 1161-1178.
Russell, S. & Norvig, P. Artificial Intelligence : A Modern Approach (2/e), Prentice-Hall, 2003.
Russell, S. and Norvig, P. 2003. Artificial Intelligence : A Modern Approach (Second edition), Prentice
Hall.
Russell, SG & Wefald, EH, Do the Right Thing: Studies in Limited Rationality. Cit Press; ISBN:
0262181444, 1991
Russell,S. and Norvig P. Artificial Intelligence : A Modern Approach, Prentice-Hall, 1995.
Ryle, G., The Concept of Mind, University of Chicago Press; ISBN: 0226732959 ; 1984
Sagi, A. & Hoffman, M. L. (1976). Empathic distress in the newborn. Developmental Psychology, 12(2),
175-76.
Salovey, P., Mayer, J. (1993) The Intelligence of Emotional Intelligence. Intelligence, 17(4), 433-442.
Scheff, T.J. (1985) The Primacy of Affect. American Psychologist, 40, 849-850.
Scherer, K. (1988) Criteria for Emotion-antecedent Appraisal: A Review. In V. Hamilton, G. Bower, N.
Frijda (Eds). Cognitive Perspectives on Emotion and Motivation. Kluwer, Netherlands.
Scherer, K. (1994) Toward a Concept of ‘Modal Emotions’. In P. Ekman and R. Davidson (Eds). Nature
of Emotion, Oxford University Press. New York.
Scherer, K. (1999) Appraisal Theory. In T. Dalgleish and M. Power (Eds). Handbook of Cognition and
Emotion. John Wiley and Sons. New York.
Scherer, K. (2001) Appraisal Considered as a Process of Multilevel Sequential Checking. In K. Scherer,
A. Schorr, T. Johnstone (Eds). Appraisal Processes in Emotion. Oxford University Press. New York
Scherer, K. (2001a) The Nature and Study of Appraisal. In K. Scherer, A. Schorr, T. Johnstone (Eds).
Appraisal Processes in Emotion. Oxford University Press. New York.
Scherer, K. (2001b) Appraisal Considered as a Process of Multilevel Sequential Checking. In K. Scherer,
A. Schorr, T. Johnstone (Eds). Appraisal Processes in Emotion. Oxford University Press. New York
Scherer, K. 1994. Toward a Concept of ‘Modal Emotions’. In P. Ekman and R. Davidson (Eds): Nature of
Emotion, Oxford University Press. New York.
Scherer, K. Appraisal Considered as a Process of Multilevel Sequential Checking. In K. Scherer, A.
Schorr, T. Johnstone (Eds). Appraisal Processes in Emotion. Oxford University Press. New York,
2001.
Scherer, K. R. (Ed.) (1988). Facets of emotion: Recent research. Hillsdale, N.J.: Erlbaum.
Scherer, K. R., Wallbott, H. G. & Summerfield, A. B. (Eds.) (1986). Experiencing emotion: A cross-
cultural study. Cambridge, England: Cambridge University Press.
Scherer, K. Studying the emotion-antecedent appraisal process: An expert system approach, Cognition and
Emotion, 7, 325-355, 1994.
Scherer, K. Toward a Concept of ‘Modal Emotions’. In P. Ekman and R. Davidson (Eds): Nature of
Emotion, Oxford University Press. New York, 1994.
Scheutz and Andronache (in preparation) “APOC – A Framework for the Analysis, Comparison, and
Design of Complex Agents”.
Scheutz and Andronache (in preparation) “APOC – A Framework for the Analysis, Comparison, and
Design of Complex Agents”.
Scheutz M. and Logan B. 2001, Affective vs. Deliberative Agent Control, In Proceedings of the AISB’01
Symposium on Emotion, Cognition and Affective Computing, University of York.
Scheutz M. and Logan B. 2001, Affective vs. Deliberative Agent Control, In Proceedings of the AISB’01
Symposium on Emotion, Cognition and Affective Computing, University of York.
Scheutz, M. (2001b) “Ethology and functionalism: Behavioral descriptions as the link between physical
and functional descriptions”. Evolution and Cognition, 7(2), 164—171.
Scheutz, M. (2001b) “Ethology and functionalism: Behavioral descriptions as the link between physical
and functional descriptions”. Evolution and Cognition, 7(2), 164—171.
Scheutz, M. and Andronache, V. (under review) “Architectural Mechanisms for the Dynamic
Modification of Action Selection Strategies for Behavior-Based System.”
Scheutz, M. and Andronache, V. (under review) “Architectural Mechanisms for the Dynamic
Modification of Action Selection Strategies for Behavior-Based System.”
Scheutz, M., AI as a Method?, In: Commentary on Green on AI Cognitive Science
http://www.cs.bham.ac.uk/research/cogaff/0-INDEX00-05.html, 2000
Scheutz, M., Logan, B., Affective vs. Deliberative Agent Control. In: Emotion, Cognition & Affective
Computing, AISB2001-Agents and Cognition, 2001
Scheutz, M., Sloman, A. and Logan, B. Emotional States and Realistic Agent Behaviour, Proceedings of
GameOn2000, Imperial College London, 11-12 Nov 2000,
Scheutz, M., Sloman, A. and Logan, B., Emotional States and Realistic Agent Behaviour, Proceedings of
GameOn2000.
Scheutz, M., Sloman, A. and Logan, B., Emotional States and Realistic Agent Behaviour, Proceedings of
GameOn2000.
Scheutz, Matthias (1999) “When Physical Systems Realize Functions...”. Minds and Machines 9,2, 161–
196.
Scheutz, Matthias (1999) “When Physical Systems Realize Functions...”. Minds and Machines 9,2, 161–
196.
Scheutz, Matthias (2000) “Behavioral States: Linking Functional and Physical Descriptions” In
Proceedings of the AISB’2000 Symposium on How to Design a Functioning Mind, AISB, 117–123.
Scheutz, Matthias (2000) “Behavioral States: Linking Functional and Physical Descriptions” In
Proceedings of the AISB’2000 Symposium on How to Design a Functioning Mind, AISB, 117–123.
Scheutz, Matthias (2001a) “Causal vs. Computational Complexity?” Minds and Machines 11, 534–566.
Scheutz, Matthias (2001a) “Causal vs. Computational Complexity?” Minds and Machines 11, 534–566.
Schneck, D., Music in human adaptation, CogNet, http://cognet.mit.edu/, 2000.
Schoenauer, M. (Eds.), Interacting Trajectories in Design Space and Niche Space: A Philosopher
Speculates About Evolution. In: The Sixth International Conference on Parallel Problem Solving from
Nature, 2000
Schreiber, G. Wielinga, B. & Breuker, J. (1993) KADS: A Principled Approach To Knowledge-Based
Systems. Academic Press.
Schreiber, G., Akkermans, H, Anjewierden, A, de Hoog,R., Shadbolt, N., Van de Velde, W., and
Wielinga, B. (1999), Knowledge Engineering and Management: The CommonKADS Methodology,
MIT Press, ISBN 0-262-19300-0.
Schwartz, M. F., Reed, E. S., Montgomery, M. W., Palmer, C. & Mayer, N. H. 1991.The quantitative
description of action disorganisation after brain damage: a case study. Cognitive Neuropsychology, 8,
381-414.
Schwartz, M. F., Reed, E. S., Montgomery, M. W., Palmer, C. & Mayer, N. H. (1991).The quantitative
description of action disorganisation after brain damage: a case study. Cognitive Neuropsychology, 8,
381-414.
Scott Reilly, W. & Bates, J. Building Emotional Agents. CMU-CS-92-143. 1992.
Searle, J. (1995). The construction of social reality. London: Penguin.
Searle, J. R. (1969). Speech acts: An essay in the philosophy of language. Cambridge: Cambridge
University Press.
Searle, J. R. (1979). Expression and meaning: Studies in the theory of speech acts. Cambridge: Cambridge
University Press.
Searle, J. R. (1984). Minds, brains, and action. Harvard University Press.
Searle, J., The Rediscovery of the Mind, MIT Press, Cambridge, 1992
Seif El-Nasr M., Ioerger T.R., and Yen J. (1999) A Web of Emotions, Proc. of Workshop on Emotion-
Based Agent Architectures part of Autonomous Agents '99.
Selfridge, O. Pandemonium: A paradigm for learning..In: Symposium On The Mechanisation Of Thought
Processes, HM Stationary Office, 1959.
Selman, B. Brooks, R. Dean, T. Horvitz, E. Mitchell, T. Nilsson, N. (1996) Challenge Problems for
Artificial Intelligence. In Proceedings of the Thirteenth National Conference on Artificial Intelligence
(AAAI 96). Portland, Oregon, 1340-1345
Sen, K., Theunissen, F. E., and Doupe, A. J. (2001). Feature analysis of natural sounds in the songbird
auditory forebrain. Journal of Neurophysiology, 86(3):1445-1458.
Sengers, P. (1999). Anti-Boxology: Agent Design in Cultural Context. PhD thesis, School of Computer
Science, Carnegie Mellon University.
Sesito, S and Dillon, T.S., Automated Knowledge Acquisition, Prentice-Hall, 1994.
Shafer G and Pearl J (eds) Readings in Uncertain Reasoning, Morgan Kaufman, 1990
Shallice, T. & Burgess, P. (1996) . The domain of supervisory processes and temporal organization of
behaviour. Philosophical Transactions of the Royal Society of London B. 351, 1405-1412.
Shallice, T. & Burgess, P. 1996 . The domain of supervisory processes and temporal organization of
behaviour. Philosophical Transactions of the Royal Society of London B. 351, 1405-1412.
Shallice, T. & Burgess, P. (1991). Deficits in strategy application following frontal lobe lesions. Brain,
114, 727-741.
Shallice, T. & Burgess, P. 1991. Deficits in strategy application following frontal lobe lesions. Brain, 114,
727-741.
Shallice, T. (2002). Fractionation of the Supervisory System. In D. T. Stuss & R. T. Knight (Eds.)
Principles of Frontal Lobe Function. Oxford University Press. pp. 261-277.
Shallice, T. 2002. Fractionation of the Supervisory System. In D. T. Stuss & R. T. Knight (Eds.)
Principles of Frontal Lobe Function. Oxford University Press. pp. 261-277.
Shanahan, M. (2005), Perception as Abduction: Turning Sensor Data Into Meaningful Representation,
Cognitive Science 29 (2005) 103–134
Sharples,M., D. Hogg, C. Hutchinson, S. Torrance & D. Young, Computers and Thought, MIT Press,
1980.
Shastri, L. 2001. A computational model of episodic memory formation in the hippocampal system.
Neurocomputing 38-40:889-897.
Shastri, L. 2002. Episodic memory and cortico-hippocampal interactions. Trends in Cognitive Sciences
6:162-168.
Shastri, L. A model of rapid memory formation in the hippocampal system. In Proceedings of the Meeting
of the Cognitive Science Society, Stanford, 1997.
Shavlik, J. A framework for combining symbolic and neural learning. In V.Honavar and L.Uhr, editors,
Artificial Intelligence and Neural Networks: Steps towards principled Integration, pages 561-580.
Academic Press, San Diego, 1994.
Shavlik, J.W. & Michalski, R.S. Readings in Machine Learning, Morgan Kaufmann, 1990.
Shoham, Y. Agent-oriented programming. Artificial Intelligence, 60, 1, pp. 51-92, 1993.
Shotter, J. (1990). The social construction of remembering and forgetting. In D. Middleton & D. Edwards
(Eds.), Collective remembering (p. 120-138). London: Sage.
Shotter, J. (1993). Conversational realities: Constructing life through language. London: Sage.
Shotter, J., & Gergen, K. (1989). Texts of identity. London: Sage.
Shotter, J., & Gergen, K. (1994). Series preface. In T. Sarbin & J. Kitsuse (Eds.), Constructing the social
(p. i). London: Sage.
Siegelman, H.T. (1995) “On computational power of neural networks”. Journal of Computer System
Science, 50(1):132—150.
Siegelman, H.T. (1995) “On computational power of neural networks”. Journal of Computer System
Science, 50(1):132—150.
Siemann, M. and Delius, J. D. (1993). Implicit deductive reasoning in humans. Naturwissenshaften,
80:364-366.
Sikorski, R. (1964). Boolean algebras. Springer Verlag.
Simon, H. (1967). Motivational and emotional controls of cognition. Psychological Review, 74, 29-39.
Simon, H. A. (1969). The sciences of the artificial. Cambridge: MIT Press.
Simon, H. A. (1979). Models of thought (Vol. 1). New Haven: Yale University Press.
Simon, H. A. (1997). Scientific approaches to the question of consciousness. In J. D. Cohen & J. W.
Schooler (Eds.), Scientific approaches to consciousness. Mahwah, NJ.: Erlbaum.
Simon, H. A., & Gilmartin, K. J. (1973). A simulation of memory for chess positions. Cognitive
Psychology, 5, 29-46.
Simon, H.A. 1967. Motivational and emotional controls of cognition, Reprinted in Models of Thought,
Yale University Press, 29-38, 1979.
Simon, H.A. 1967. Motivational and emotional controls of cognition, Reprinted in Models of Thought,
Yale University Press, 29-38, 1979.
Simon, H.A. Models of Thought, Yale University Press, 1979.
Simon, H.A. Motivational and emotional controls of cognition, Models of Thought, Yale University Press,
1979.
Simon, H.A. Motivational and emotional controls of cognition, Models of Thought, Yale University Press,
1979.
Simon, H.A. The Sciences of the Artificial (Third Edition), MIT Press, 1996.
Simon, H.A., Motivational and emotional controls of cognition, Models of Thought, Yale University
Press, 1979
Simon, H.A., Motivational and emotional controls of cognition, Originally 1967, Reprinted in Models of
Thought, Yale University Press, 29-38, 1979.
Simon, H.A., Motivational and emotional controls of cognition, Originally 1967, Reprinted in Models of
Thought, Yale University Press, 29-38, 1979.
Simons, G., Silicon Psychosis: Derangement in the Global Network, Harvester Wheatsheaf, ISBN 0-7108-
1307-4, 1989
Singh, M., Rao, A. (Eds.), The Belief-Desire-Intention Model of Agency. In: Intelligent Agents V, 1998
Singh, P. and Minsky, M., An Architecture for Combining Ways to Think, Proceedings of the
International Conference on Knowledge Intensive Multi-Agent Systems, 2003.
Skaggs, W. and McNaughton, B. (1998). Spatial firing properties of hippocampal ca1 populations in an
environment containing two visually identical regions. Journal of Neuroscience, 18(20):8455-8466.
Sloman A. (1993) `Prospects for AI as the general science of intelligence' in A. Sloman, D. Hogg, G.
Humphreys, D. Partridge, A. Ramsay (eds.) Prospects for Artificial Intelligence, IOS Press,
Amsterdam, pp 1-10.
Sloman A., The mind as a control system. In C.Hookway and D.Peterson, editors, Philosophy and the
Cognitive Sciences, pages 69--110. Cambridge University Press, 1993.
Sloman, A. & Logan, B., Cognition and Affect: Architectures and Tools, European Conference on
Cognitive Modeling, 1998.
Sloman, A. (1987) Motives Mechanisms and Emotions. Emotion and Cognition, 1 (3), 217-234.
Sloman, A. (1992). How to Dispose of the Free-Will Issue. AISB Quarterly, 82:31-32.
Sloman, A. (1995, April). Architectures for emotional Agents. Conference presented at the Geneva
Emotion Week, Université de Genève, Geneva.
Sloman, A. (1998) Damasio, Descartes, alarms and meta-management. In Proceedings International
Conference on Systems, Man, and Cybernetics (SMC98), IEEE Press: San Diego, 2652—2657.
Sloman, A. (1998) Damasio, Descartes, alarms and meta-management. In Proceedings International
Conference on Systems, Man, and Cybernetics (SMC98), IEEE Press: San Diego, 2652—2657.
Sloman, A. (1999) Why Can’t a Goldfish Long for it’s Mother. Conference on Affective Computing: The
Role of Emotion in HCI. British HCI Group. 10th April 1999.
Sloman, A. (2000) “Architectural Requirements for Human-like Agents Both Natural and Artificial.
(What sorts of machines can love?)”. In K. Dautenhahn (ed.) Human Cognition And Social Agent
Technology", Advances in Consciousness Research", John Benjamins: Amsterdam, 163—195.
Sloman, A. (2000) “Architectural Requirements for Human-like Agents Both Natural and Artificial.
(What sorts of machines can love?)”. In K. Dautenhahn (ed.) Human Cognition And Social Agent
Technology", Advances in Consciousness Research", John Benjamins: Amsterdam, 163—195.
Sloman, A. (2000). Architectural requirements for humanlike agents, both natural and artificial (what sorts
of machines can love?). In K. Dautenhahn (Ed.), Human cognition and social agent technology (pp.
163--195). John Benjamins Publishing.
Sloman, A. (2001) Varieties of Affect and the CogAff Architecture Schema. In: Proceedings of AISB 01.
York, 2001.
Sloman, A. (2001). Beyond shallow models of emotion. Cognitive Processing, 2 (1), 177-198.
Sloman, A. (2002) “Architecture-based conceptions of mind". In P. Gardenfors and K. Kijania-Placek
and J. Wolenski (eds.) Proceedings 11th International Congress of Logic, Methodology and
Philosophy of Science, Synthese Library Series, Kluwer: Dordrecht, 397—421.
Sloman, A. (2002) “Architecture-based conceptions of mind". In P. Gardenfors and K. Kijania-Placek
and J. Wolenski (eds.) Proceedings 11th International Congress of Logic, Methodology and
Philosophy of Science, Synthese Library Series, Kluwer: Dordrecht, 397—421.
Sloman, A. (2002) The Cognition and Affect Project. [Online].
www.cs.bham.ac.uk/~axs/cog_affect/COGAFF-PROJECT.html. [Accessed 7th August 2003].
Sloman, A. (2002). Architecture-Based Conceptions of Mind. In P. Gardenfors and K. Kijania-Placek & J.
Wolenski, Eds., In the Scope of Logic, Methodology, and Philosophy of Science (Vol II), Kluwer,
Dordrecht, pp. 403-427.
Sloman, A. `Why we need many knowledge representation formalisms', in Research and Development in
Expert Systems, ed. M Bramer, Cambridge University Press (1985a) 163--183.
Sloman, A. 1990. Motives mechanisms and emotions, M.A. Boden (Editor), The Philosophy of Artificial
Intelligence, Oxford University Press.
Sloman, A. 1990. Motives mechanisms and emotions, M.A. Boden (Editor), The Philosophy of Artificial
Intelligence, Oxford University Press.
Sloman, A. 1993. The mind as a control system, In : Philosophy and the Cognitive Sciences, C. Hookway
and D. Peterson (Editors), Cambridge University Press.
Sloman, A. 1993. The mind as a control system, In : Philosophy and the Cognitive Sciences, C. Hookway
and D. Peterson (Editors), Cambridge University Press.
Sloman, A. 1997. What sort of control system is able to have a personality. In Trappl, R. and Petta, P.,
editors, Creating Personalities for Synthetic Actors : Towards Autonomous Personality Agents, pp
166-208. Springer (Lecture Notes in AI), Berlin.
Sloman, A. 1997. What sort of control system is able to have a personality. In Trappl, R. and Petta, P.,
editors, Creating Personalities for Synthetic Actors : Towards Autonomous Personality Agents, pp
166-208. Springer (Lecture Notes in AI), Berlin.
Sloman, A. 2001. Beyond Shallow Models of Emotion, In Cognitive Processing, Vol2 No1, 2001, pp177-
198.
Sloman, A. 2001. Beyond Shallow Models of Emotion, In Cognitive Processing, Vol2 No1, 2001, pp177-
198.
Sloman, A. 2002. Architecture-Based Conceptions of Mind. In P. Gardenfors and K. Kijania-Placek & J.
Wolenski, Eds., In the Scope of Logic, Methodology, and Philosophy of Science (Vol II), Kluwer,
Dordrecht, pp. 403-427.
Sloman, A. and Logan, B. (1999). Building cognitively rich agents using the Sim_agent toolkit.
Communications of the Association of Computing Machinery, 42(3):71-77.
Sloman, A. and Logan, B. 1999. Building cognitively rich agents using the SimAgent toolkit.
Communications ot the Association of Computing Machinery, 42(3):71-77.
Sloman, A. and Logan, B. 1999. Building cognitively rich agents using the SimAgent toolkit.
Communications ot the Association of Computing Machinery, 42(3):71-77.
Sloman, A. and M. Croucher, Why robots will have emotions. Proceedings of IJCAI87, 197-202, 1987.
Sloman, A. and M. Croucher, Why robots will have emotions. Proceedings of IJCAI87, 197-202, 1987.
Sloman, A. and M. Croucher, Why robots will have emotions. Proceedings of IJCAI87, 197-202, 1987.
Sloman, A. and R.Poli. SIM_AGENT: A toolkit for exploring agent designs. In ATAL95, Agent
workshop at IJCAI95. pages 304-316 Montreal, 1995.
Sloman, A. Architectural requirements for human-like agents both natural and artificial, In Human
Cognition and Social Agent Technology, K. Dautenhahn, Benjamins, 1999.
Sloman, A. Beaudoin, L. Wright, I. (1994) Computational Modelling of Motive-Management Processes.
In N. Frijda (Ed). Proceedings of the VIIIth Conference of the International Society for Research on
Emotions, 344-348, ISRE Publications, Storrs, USA.
Sloman, A. Damasio, Descartes and Meta-management, IEEE International Conference on Systems, Man
and Cybernetics, San Diego, 1998.
Sloman, A. Explorations in design space. In Proceedings 11th European Conference on AI, Amsterdam,
1994.
Sloman, A. Explorations in design space. In Proceedings 11th European Conference on AI, Amsterdam,
1994.
Sloman, A. Exploring design space and niche space, Proceedings of the 5th Scandinavian Conference on
AI, Trondheim, Norway, IOS Press, 1995.
Sloman, A. Motives mechanisms and emotions. Emotion and Cognition, 1(3):217--234, 1987. Reprinted
in M.A. Boden (ed), The Philosophy of Artificial Intelligence, `Oxford Readings in Philosophy' Series,
Oxford University Press, 231--247, 1990.
Sloman, A. Prolegomena to a theory of communication and affect. In A.Ortony, J.Slack, and O.Stock,
editors, Communication from an Artificial Intelligence Perspective:Theoretical and Applied Issues,
pages 229--260. Springer, Heidelberg, Germany, 1992.
Sloman, A. What are emotion theories about? Multidisciplinary workshop on Architectures for Modeling
Emotion at the AAAI Spring Symposium at Stanford University in March 2004.
Sloman, A. What sort of control system is able to have a personality?. In R.Trappl, editor, Proceedings of
Workshop on Designing Personalities for Synthetic Actors, Vienna, June 1995.
Sloman, A., & Croucher, M. (1981). Why robots will have emotions. In Proceedings of the seventh
international joint conference on arti_cial intelligence (p. 197-202). Vancouver B.C., Canada.
Sloman, A., & Logan, B. (1999). Building cognitively rich agents using the Sim_agent toolkit.
Comunications of the ACM, 42, 71-77.
Sloman, A., 1998, The Semantics of Evolution: Trajectories and Trade-offs in Design Space and Niche
Space? IBERAMIA’98, Lisbon, Springer-Verlag
Sloman, A., and R. Chrisley. 2003. Virtual Machines and Consciousness. Journal of Consciousness
Studies 10:133-172.
Sloman, A., Architectural Requirements for Autonomous Human-like Agents. In: DFKI Saarbrücken 6th,
1997
Sloman, A., Are Turing Machines Relevant to AI?, 2000
Sloman, A., Beaudoin, L., Wright, I., Computational Modelling of Motive-Management Processes. In:
Conference of the International Society for Research in Emotions, 1994
Sloman, A., Beyond shallow models of emotion, Cognitive Processing, 2(1):177-198, 2001.
Sloman, A., Beyond shallow models of emotion, Cognitive Processing, 2(1):177-198, 2001.
Sloman, A., Chrisley, R. and Scheutz, M.The Architectural Basis of Affective States and Processes In:
'Who needs emotions?', edited by Jean-Marc Fellous and Michael Arbib, 2004.
Sloman, A., Exploring design and niche space. In: Proceedings of 5th Scandinavian Conference on AI,
1995
Sloman, A., Introduction: Models of Models of Mind. In: The DAM Symposium: How to Design a
Functioning Mind, 2000
Sloman, A., L. Beaudoin and I. Wright, Computational modeling of motive-management processes, In:
Proceedings of the Conference of the International Society for Research in Emotions, N. Frijda (Ed.),
ISRE Publications, 1994.
Sloman, A., Motives mechanisms and emotions. In: M.A. Boden (Editor), The Philosophy of Artificial
Intelligence, Oxford University Press, 1990.
Sloman, A., Motives Mechanisms Emotions. In: Emotion and Cognition, pp.217-234, 1987
Sloman, A., Motives, mechanisms and emotions, Cognition and Emotion 1, 1987.
Sloman, A., SimAgent: A Toolkit for philosophers and engineers, 2001
Sloman, A., The “Semantics” of Evolution: Trajectories and Trade-offs in Design Space and Niche Space,
IBERAMIA’98, 1998.
Sloman, A., The mind as a control system, In: Philosophy and the Cognitive Sciences, C. Hookway and D.
Peterson (Editors), Cambridge University Press, 1993.
Sloman, A., The mind as a control system, In: Philosophy and the Cognitive Sciences, C. Hookway and D.
Peterson (Editors), Cambridge University Press, 1993.
Sloman, A., The mind as a control system, In: Philosophy and the Cognitive Sciences, C. Hookway and D.
Peterson (Editors), Cambridge University Press, 1993.
Sloman, A., Varieties of Affect and the CogAff Architecture Schema. In: Emotion, Cognition & Affective
Computing, AISB2001-Agents and Cognition, 2001
Sloman, Aaron and Scheutz, Matthias (2002) "A Framework for Comparing Agent Architectures". In
Proceedings of UKCI'02, 169-176.
Sloman, Aaron and Scheutz, Matthias (2002) "A Framework for Comparing Agent Architectures". In
Proceedings of UKCI'02, 169-176.
Sloman, A. 1987. Motives Mechanisms Emotions. Cognition and Emotion 1:217–234.
Sloman, A. 1998. The ``Semantics'' of Evolution: Trajectories and Trade-offs in Design Space and Niche
Space. In Progress in Artificial Intelligence, ed. H. Coelho. Berlin: Springer.
Sloman. A. What sort of architecture is required for a human-like agent? Cognitive Modeling Workshop,
AAAI96, Oregon, 1996.
Smith, L. Samuelson, L. (2002) Different is Good: Connectionism and Dynamic Systems Theory are
Complementary Emergentist Approaches to Development. Developmental Science [Special Issue].
2002.
Soehr, K.T. & Lehnkuhle, S.W.Visual Information Processing, Freeman Press, 1982 152.4;1
Solomon, R.C., The Passions, Hackett, 1993.
Song, H., and S. Franklin. 2000. A Behavior Instantiation Agent Architecture. Connection Science 12:21-
44.
Sontag, E.D., Mathematical Control Theory: Deterministic Finite Dimensional Systems.
Second Edition, Springer, New York, 1998
Sowa, J.F. Conceptual Structures: Information Processing in Mind and Machine, Addison Wesley, 1984.
Spaulding, W.D. (Editor), Integrative Views of Motivation, Cognition and Emotion, University of
Nebraska Press, 1994.
Spector, L. (1996). Simultaneous Evolution of Programs and their Control Structures. In Angeline, P. &
Kinnear, K. (Eds.), Advances inGenetic Programming 2. Cambridge, MA: MIT Press.
Spelke, E. S. (2003). What makes us smart? Core knowledge and natural language. In Gentner, D. and
Goldin-Meadow, S., editors, Advances in the Investigation of Language and Thought. MIT Press,
Cambridge, MA.
St. John, M.F. and J.L. McClelland. Learning and applying contextual constraints in sentence
comprehension. Artificial Intelligence, 46:217-257, 1990.
Stauffer, D. (2002) Sociophysics simulations (2002) arXiv:cond-mat/0210213v1
Steel, L. Co-operation between distributed agents through self organisation. Decentralised AI - First
European Workshop on Modelling Autonomous Agents in Multi-Agent Worlds, 175-196, 1990.
Steel, L. Co-operation between distributed agents through self organisation. Decentralised AI - First
European Workshop on Modelling Autonomous Agents in Multi-Agent Worlds, 175-196, 1990.
Steel, L. Co-operation between distributed agents through self organisation. Decentralised AI - First
European Workshop on Modelling Autonomous Agents in Multi-Agent Worlds, 175-196, 1990.
Steels, L. & Brooks, R. (Eds.) (1995). The artificial life route to artificial intelligence. Hillsdale, NJ:
Erlbaum.
Steels, L., When are robots intelligent autonomous agents? Robotics and Autonomous Systems, 15 (1-2)
(1995) pp. 3-9
Steels, L., When are robots intelligent autonomous agents? Robotics and Autonomous Systems, 15 (1-2)
(1995) pp. 3-9
Steels, L., When are robots intelligent autonomous agents? Robotics and Autonomous Systems, 15 (1-2)
(1995) pp. 3-9
Stein, N. L., Trabasso, T. & Liwag, M. (1993). The representation and organization of emotional
experience: Unfolding the emotion episode. In M. Lewis & J. M. Haviland (Eds.), Handbook of
emotions (pp. 279-300). New York: The Guilford Press.
Stern, J. (2000). Metaphor in context. Cambridge, MA and London, UK: Bradford Books, MIT Press.
Stillings, N.A., Weisler, S.E., Chase, C.H., Feinstein, M.H., Garfield, J.L. and Rissland, E.L. Cognitive
Science: An Introduction, (Second Edition), MIT Press, 1995.
Stone, P. & Veloso, M., A Layered Approach to Learning Client Behaviours in the RoboCup Soccer
Server. In : Applied Artificial Inteligence, 12, 1998
Stone, P., Layered Learning in Multiagent Systems : A Winning Approach to Robotic Soccer, MIT Press,
ISBN 0262194384, 2000
Stone, P., Veloso, M., Riley, P., CMUNITED-98 Simulator Team. In: AI Magazine, Volume 21, No.1,
2000
Stork, D.G. HAL's Legacy, MIT Press, 1997.
Stoytchev, A. & Arkin, R. (2004) Incorporating Motivation in a Hybrid Robot Architecture, Journal of
Advanced Computational Intelligence and Intelligent Informatics, Vol. 8(3), pp. 269-274.
Strack, F., Martin, L. L. & Stepper, S. (1988). Inhibiting and facilitating conditions of the human smile: A
nonobtrusive test of the facial feedback hypothesis. Journal of Personality and Social Psychology,
54(5), 768-777.
Strongman, K T. (1996) The Psychology of Emotion. 4th Edition. John Wiley & Sons. Chichester,
England.
Sulis, W. & Combs, A., Eds. (1996) Nonlinear Dynamics in Human Behaviour, World Scientific.
Sun, R. (2001) Hybrid Systems and Connectionist Implementationalism. In L. Nadel (Ed). Encyclopaedia
of Cognitive Science. Macmillan, London.
Sun, R. and L.A. Bookman. Computational Architectures Integrating Neural and Symbolic Processes.
Kluwer Academic Publishers, Boston, MA, 1995.
Sun, R. Integrating Rules and Connectionism for Robust Commonsense Reasoning. Wiley, New York,
1994.
Swage, D., The Cogwheel Brain: Charles Babbage and the Quest to Build the First Computer., Abacus
Press, ISBN: 0349112398, 2001.
Tagg, R. & Liew, B. Object-Orientated Database Methodology - State of The Art. pp 147-161 In:
Advances In Databases, 11th British National Conference on Databases, Keele, UK, 1993. Lecture
Notes in Computer Science No 696.
Tambe, M., Lewis-Johnson, W., Jones, R.M., Koss, F., Laird, J.E. Rosenbloom, P.S. and Schwamb, K.
Intelligent agents for interactive simulation environments, AI Magaziine, Spring 1995, : 15-39.
Tambe, M., Raines, T., Marsella, S., Agent Assistants for Team Analysis. In: AI Magazine, Volume 21,
No.3, 2000
Tanaka, J. W. and Farah, M. J. (1993). Parts and wholes in face recognition. Quarterly Journal of
Experimental Psychology, 46A(2):225-245.
Tanaka-Ishii, K., Frank, I., Arai, K., Trying to Understand RoboCup. In: AI Magazine, Volume 21, No.3,
2000
Tangney, J. P. (1995). Shame and guilt in interpersonal relationships. In J. P. Tangney & K. W. Fischer
(Eds.), Self-conscious emotions. The psychology of shame, guilt, embarrassment, and pride (pp. 114-
139). New York: The Guilford Press.
Tappolet, C. (2000). Émotions et valeurs. Paris: PUF..
Taylor, J. G. 1999. The Race for Consciousness. Cambridge, MA: MIT Press.
Taylor, P. (1999). Practical foundations of mathematics. Cambridge University Press.
Thagard, P. (1996) Mind: Introduction to Cognitive Science. MIT Press. Massachusetts.
Thelen, E. and Smith, L. B. (1994). A Dynamical Systems Approach to Development of Cognition and
Action. MIT Press, Cambridge, MA.
Thomson, R. The Pyschology of Thinking, Pelican, 1959.
Thórisson, K. R. (1999). A mind model for multimodal communicative creatures & humanoids.
International Journal of Applied Artificial Intelligence, 13(4/5):519-538.
Thornton, C.J. Techniques in Computational Learning, Chapman and Hall, 1992.
Toates, F. (1986). Motivational systems. Cambridge: Cambridge University Press.
Toates, F. (1998) Control of Behaviour, Springer Verlag.
Toates, F., (Editor), Control of Behaviour, Springer Verlag, 1998.
Tomasello, M. (2000). The item-based nature of children's early syntactic development. Trends in
Cognitive Sciences, 4, 156-163.
Tomoichi, T., LogMonitor – Analysing Good Plans to Train Player Agents. In: AI Magazine, Volume 21,
No.3, 2000
Towell, G.G. & Shavlik, J.W. Knowledge-Based Artificial Neural Networks. Artificial Intelligence, 70,
1994.
Trivers, R. L. (1971). The evolution of reciprocal altruism. The Quaterly Review of Biology, 46, 35-57.
Tsotsos, J.K. Representational Axes and Temporal Co-operative Processes. Technical Report RCBV-TR-
84-2, Computer Science, University Of Toronto, 1984.
Turing, A. Computing Machinery and Intelligence, Mind 59:433-460, October 1950.(Reprinted in)
Turner, R. (1984). Logics for artificial intelligence. Ellis Horwood.
Tyrell, T. (1993). Computational Mechanism for Action Selection. PhD Thesis, University of Edinburgh.
Tyrell, T. (1993). Computational Mechanism for Action Selection. PhD Thesis, University of Edinburgh.
Tyrrell, T. An evaluation of Maes’ “botton-up” mechanisms for behaviour selection, Technical report,
Plymouth Marine Laboratory, 1994.
Valenzuela-Rendon, M. 1991. The Fuzzy Classifier System: a classifier System for Continuously Varying
Variables. In: Proceedings of the Fourth International Conference on Genetic Algorithms. San Mateo
CA: Morgan Kaufmann.
Vallerand, R. J. & Thill, E. E. (1993). Introduction au concept de motivation. In R. J.Vallerand & E. E.
Thill (Eds.), Introduction à la psychologie de la motivation (pp. 3-39). Laval, Québec: Éditions Études
Vivantes.
Van de Velde, W., Cognitive architectures – From knowledge level to structural coupling. In: L. Steels
(ed), Biology and Technology of Intelligent Autonomous Agents, pp197-221, Springer, 1996.
Van Gelder, T & Port, R. (1995) It’s About Time: an Overview of the Dynamical Approach to Cognition.
In R. Port & T. Van Gelder (Eds). Mind as Motion. MIT Press. Cambridge, Massachusetts.
van Gelder, T. (1999). Dynamic approaches to cognition. In R. Wilson & F. Keil (Eds.), The MIT
encyclopedia of cognitive sciences (p. 244-246). Cambridge MA: MIT Press.
Van Lehn, K., 1991, Architectures For Intelligence. Lawrence Earlbaum Associates Ltd., New Jersey,
USA.
van Lent, Laird, J. E., Buckman, J., Hartford, J., Houchard, S., Steinkraus, K., and Tedrake, R., Intelligent
Agents in Computer Games, In: Proceedings of the National Conference on Artificial Intelligence, July
1999, Orlando, FL, pp. 929-930
van Lent, M., Laird, J., Buckman, J., Hartford, J., Houchard, S., Steinkraus, K. & Tedrake, R. (1999).
Intelligent agents in computer games, Proceedings of the National Conference on Artificial
Intelligence, pp. 929–930.
VanLehn, K. (Ed.), Architectures for Intelligence, LEA Press, ISBN 0-8058-0405-6, 1988.
VanRullen, R., and C. Koch. 2003. Is perception discrete or continuous? Trends in Cognitive Science
7:207-213.
Varela, F.J., Maturana, H.R. and Uribe, R. (1974) Autopoiesis: the organization of living systems, its
characterization and a model, BioSystems, 5, 187-196.
Velasquez, J. D. (1996) Cathexis – A Computational Model for the Generation of Emotions and their
Influence in the Behaviour of Autonomous Agents. PhD Thesis. MIT, USA.
Velasquez, J. D. (1997) Modelling Emotions and Other Motivations in Synthetic Agents. In proceedings
of 14th National Conference of Artificial Intelligence (AAAI-97), MIT/AAAI Press, Providence, RI.
Velasquez, J. D. Cathexis – A Computational Model for the Generation of Emotions and their Influence in
the Behaviour of Autonomous Agents. PhD Thesis. MIT, 1996.
Veloso, M., Pagello, E. & Kitano, H. (Eds.), Overview of RoboCup-99. In: RoboCup-99 : Robot Soccer
World Cup III, pp. 1-34, Springer Verlag, Berlin, August 2000
Vere, S. & Bickmore, T. A basic agent, Computational intelligence, 6, 41-60, 1990.
Vicente, K. J., & Wang, J. H. (1998). An ecological theory of expertise effects in memory recall.
Psychological Review, 105, 33-57.
von Newmann J. (1963), General and Logical Theory of Automata, In: A.H. Taub (ed), J. von Newmann,
Collected Works, Pegamon.
von Newmann J., General and Logical Theory of Automata, In: A.H. Taub (ed), J. von Newmann,
Collected Works, Pegamon, 1963.
Vygotsky, L. (ET 1978). Mind in society: The development of higher psychological processes. Harvard
University Press.
Wahl, S. & Spada, H. (2000) Children’s Reasoning about Intentions, Beliefs and Behaviour, Cognitive
Science Quarterly, 1, 5-34.
Wahl, S. and Spada, H., Children’s Reasoning about intentions, beliefs and behavior, Cognitive Science
Quarterly, 1, 5-34, 2000.
Wahl, S., Spada, H. (2000) Children’s Reasoning about Intentions, Beliefs and Behaviour. Cognitive
Science Quarterly.1, 5-34.
Walters, R. F. C. (1991). Categories and computer science. Cambridge University Press.
Waterman, D.A. (1986) A Guide To Expert Systems. Addison-Wesley.
Watts, F. (2000). The multifaceted nature of human personhood: Psychological and theological
perspectives. In N. Gregersen, W. Drees, & U. Giorman (Eds.), The human person in science and
theology (p. 41-63). Edinburgh: T and T Clark.
Webb, B. (1995). Using robots to model animals: A cricket test. Robotics and Autonomous systems,16,
117--134.
Wehrle, T, New Fungus Eater Experiments, in: P. Gaussier and J.-D. Nicoud (Editors) From perception to
action, pp 400-403, IEEE Computer Society Press, 1994.
Wehrle, T. Scherer, K. (2001). Toward Computational Modelling of Appraisal Theories, In K. Scherer,
A. Schorr, T. Johnstone (Eds), Appraisal Processes in Emotion. Oxford University Press. New York.
Wehrle, T. (1994) New Fungus Eater Experiments, in: P. Gaussier and J.-D. Nicoud (Editors) From
Perception to Action, pp 400-403, IEEE Computer Society Press.
Weir, A.A.S., Chappell, J., and Kacelnik, A., Shaping of hooks in New Caledonian crows. Science,
297:981, 9th August, 2002
Weisbuch, G. (1990), Complex Systems Dynamics, Addison-Wesley, ISBN: 0-201-52887-8, 1990.
Weiss S M and Kulikowski C A Computer System That Learns, Morgan-Kaufman, 1990
Weiß, G., editor (1999). Multiagent Systems. The MIT Press, Cambridge, Massachusetts.
Weizenbaum, J. (1976). Computer power and human reason. Cambridge MA: MIT Press.
Wellman, H. Bartsch, K. (1988) Young Children’s Reasoning about Beliefs. Cognition, 30, 239-277.
Wermter, S. and M.Loechel. Learning dialog act processing. In Proceedings of the International
Conference on Computational Linguistics, pages 740-745, Kopenhagen, Denmark, 1996.
Wermter, S. and M.Meurer.Building lexical representations dynamically using artificial neural networks.
In Proceedings of the International Conference of the Cognitive Science Society, pages 802-807,
Stanford, 1997.
Wermter, S. and V.Weber. SCREEN: Learning a flat syntactic and semantic spoken language analysis
using artificial neural networks. Journal of Artificial Intelligence Research, 6(1):35-85, 1997.
Wermter, S. Hybrid Connectionist Natural Language Processing. Chapman and Hall, Thomson
International, London, UK, 1995.
Wermter, S., E.Riloff, and G.Scheler. Connectionist, Statistical and Symbolic Approaches to Learning for
Natural Language Processing. Springer, Berlin, 1996.
Wexler, K. (1998). Very early parameter setting and the unique checking constraint: A new explanation of
the optional infinitive stage. Lingua, 106, 23-79.
Wheeler, M. Cognition’s Coming Home : The Reunion of Life and Mind, In: Husbands, P. and Harvey, I.
(Eds.) Fourth European Conference on Artificial Life, MIT Press, 1997, pp 10-19.
Wheeler, M. Cognition’s Coming Home: The Reunion of Life and Mind, In: Husbands, P. and Harvey, I.
(Eds.) Fourth European Conference on Artificial Life, MIT Press, 1997, pp 10-19.
White, J.E. Telescript technology: The foundation for the electronic marketplace. White paper, General
Magic, Inc., 2465 Latham street, Mountain View, CA 94040.
Wiedermann, J. (1998) Towards algorithmic explanation of mind evolution and functioning. In: Brim, L.
et al., Eds. Proc. MFCS'98. Lecture Notes in Computer Science, 1450, 152- 166.
Wilding, J.M. Perception: From sense to object., Hutchinson, 1982.
Wilensky, R., Planning and Understanding: A Computational Approach to Human Reasoning, Addison-
Weslewy, 1983.
Wilson, A. and J.Hendler. Linking symbolic and subsymbolic computing. Connection Science, 5:395-414,
1993.
Wilson, K., CHEMREG: Using Case-Based Reasoning to Support Health and Safety Compliance in
Chemical Industry. In: AI Magazine, Volume 19, No.1, 1998
Wilson, R.A & Keil, F.C. (Editors), The MIT Encyclopedia of the Cognitive Sciences, MIT Press, 1999.
Wimmer, H., Perner, J. (1983) Beliefs about Beliefs: Representation and Constraining function of Wrong
Beliefs in Young Children’s Understanding of Deception. Cognition. 53, 45-57
Wimmer, H., Weichbold, V. (1994) Children’s Theory of Mind: Fodor’s Heuristics Examined. Cognition.
53, 45-57.
Winograd, T, & Flores, F. Understanding Computers and Cognition : A New Foundation for Design,
Addison-Wesley Pub Co; ISBN: 0201112973, 1995.
Winograd, T. & Flores, F., Understanding Computers and Cognition, Addison-Wesley, 1986.
Winston, P. (1975). Learning structural descriptions from examples. In Winston, P., editor, The
Psychology of Computer Vision. McGraw-Hill Book Company, New York.
Winston, P. H. 1992. Artificial Intelligence (third edition), Addison-Wesley, Reading, Massachusetts.
Winston, P.H. Artificial Intelligence (2/e), Addison Wesley, 1984.
Winston, P.H. Artificial Intelligence (4th edition), Addison Wesley, 1992.
Wirth, N., Algorithms and Data Structures, Prentice-Hall, 1986.
Wolfram S. (1984) Theory and Applications of Cellular Automata, World Scientific Press.
Wollheim, R., On The Emotions, Yale University Press, 1999.
Wooldridge, M. & Jennings, N.R., Intelligent Agents: Theory and Practice. Knowledge Engineering
Review, 1995
Wooldridge, M. and N.R. Jennings (Eds), Intelligent Agents. Springer-Verlag, 1995.
Wooldridge, M. J. and Ciancarini, P. (2001). Agent-Oriented Software Engineering: The State of the Art.
In Ciancarini, P. and Wooldridge, M. J., editors, First International Workshop on Agent-Oriented
Software Engineering, volume 1957 of LNCS, pages 1-28. Springer, Berlin.
Wozniak, R. H. (1992). Mind and body: Ren’e descartes to william james.
http://serendip.brynmawr.edu/Mind/Table.html.
Wright, I. & Sloman, A , The Architectural Basis for Grief. CS Internal Report, University Of
Birmingham, February 1995.
Wright, I. (1997). Emotional Agents, PhD thesis, University of Birmingham.
Wright, I. And Sloman, A. 1997. MINDER1 : An implementation of a protoemotional agent architecture,
Technical Report CSRP-97-1, University of Birmingham, School of Computer Science.
Wright, I., Sloman, A. & Beaudoin, L. (1996). Towards a design-based analysis of emotional episodes,
Philosophy Psychiatry and Psychology 3(2): 101–137.
Wright, I., Sloman, A. & Beaudoin, L., Towards a Design-Based Analysis of Emotional Episodes,
Philosophy Psychiatry and Psychology, vol 3 no 2, 1996, pp 101--126.
Wright, I.P, Sloman, A, and Beaudoin, L., Towards a Design-Based Analysis of Emotional Episodes,
Philosophy Psychiatry and Psychology, 3(2): 101—126, 1996.
Wright, I.P., 1997, Emotional Agents. PhD thesis, School of Computer Science, The University of
Birmingham.
Wu, X., Building Intelligent Learning Database Systems. In: AI Magazine, Volume 21, No.3, 2000
Wyeth, Gordon, RoboCup F-180 League Rules (revised on 8/5/2000),
http://parrotfish.coral.cs.cmu.edu/robocup-small/rule (Last accessed 10/9/2000)
Young, C. (1996) Emotions and Emotional Intelligence. [Online].
http://trochim.human.cornell.edu/gallery/young/emotion.htm. [Accessed 13th October 2000].
Young, R. M. (1999) Brief Introduction to ACT-R for Soarers. Proceedings of 19th Soar Workshop,
University of Michigan.
Zajonc, R.B. (1984) The Primacy of Affect. American Psychologist, 39, 117-123.
Zaniolo, C. On The Unification of Active Databases and Deductive Databases, p 23-39 In: Advances In
Databases, 11th British National Conference on Databases, Keele, UK, 1993.
Zhang, G., & Simon, H. A. (1985). STM capacity for Chinese words and idioms: Chunking and acoustical
loop hypothesis. Memory and Cognition, 13, 193-201.
Zhang, Z., D. Dasgupta, and S. Franklin. 1998. Metacognition in Software Agents using Classifier
Systems. In Proceedings of the Fifteenth National Conference on Artificial Intelligence. Madison,
Wisconsin: MIT Press.
Zhang, Z., S. Franklin, B. Olde, Y. Wan, and A. Graesser. 1998. Natural Language Sensing for
Autonomous Agents. In Proceedings of IEEE International Joint Symposia on Intellgence Systems 98.
