Athena
Computational Intelligence: concepts and applications using
Athena
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Pedro Almir Martins de [email protected]
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The ability to learn/understand/deal with new situations
The study of how to make computers do things at which people are
doing better(IEEE, 1996)
[] area of Computer Science that study techniques to create
Intelligent Systems(Nilsson, 1998)
Intelligent behavior involves perception, reasoning, learning,
communicating and action in complex environments(Nilsson, 1998)
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What is Artificial Intelligence?
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What is Artificial Intelligence?
Relationships among components of intelligent systems:
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1948195619982007You cannot make a machine to think for
you.(Turing, 1948)Hard versus soft computing(Zadeh, 1998)Dartmouth
Artificial Intelligence Conference(McCarthy, 1956)Computational
Intelligence: An Introduction(Engelbrecht, 2007)5
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Computational Intelligence: is a sub-branch of AI and;
is concentrated in the study of adaptive mechanisms to enable or
facilitate intelligent behavior in complex and changing
environments. (Engelbrecht, 2007).
Hard Computing versus Soft Computing: Traditional AI: precision
and certainty;
Soft computing exploit the tolerance for imprecision,
uncertainty and partial truth to achieve tractability, robustness,
low solution cost and better rapport with reality. (Lotfi Zadeh,
1998)
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Concepts
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Computational Intelligence:
Taxonomy proposed by Engelbrecht (2007):
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Concepts
Artificial Neural NetworksEvolutionary ComputationArtificial
Immune SystemsSwarmIntelligenceFuzzy Systems
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Artificial Neural Networks: Inspired in biological neural
systems; Ability to learn, memorize and still generalize;
Techniques:Perceptron, Adaline;Multilayer Perceptron,
RBF;Hopfield and Kohonen Networks;
Applications:Function/time series approximation;Control process
and optimization;Pattern
Recognition/classification;Clustering;Associative memories;
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Concepts
Artificial Neural Networks
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Evolutionary ComputationEvolutionary Computation: has as its
objective to mimic processes from natural evolution;
Genetic Algorithms, Genetic Programming, Evolutionary
Programming, Evolution Strategies and so on;
Applications:Data mining;Combinatorial optimization;Fault
diagnosis;Classification and Clustering;Time series
approximation;
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Concepts
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SwarmIntelligenceSwarm Intelligence: originated from the study
of colonies or swarms of social organisms;
Applications:Shortest path optimization;Graph
coloring;Scheduling;Clustering;
Techniques:Ant Colony Optimization;Particle Swarm
Optimization;Artificial Bee Colony;
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Concepts
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Artificial Immune SystemsArtificial Immune Systems: NIS has a
great pattern matching ability, usedto distinguish between foreign
cells (antigen); AIS models some of the aspects of a NIS;
Techniques:Clonal selection;Danger theory;Network theory;
Applications:Pattern recognition problems;Classification
tasks;Cluster data;
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Concepts
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Fuzzy SystemsFuzzy Systems: Inspired in human
reasoning;Approximate reasoning;
Techniques:Mamdanis Fuzzy Inference System;Takagi-Sugeno-Kang
FIS;Fuzzy C-Means (FCM);
Applications:Control systems;Gear transmission and Braking
systems;Controlling lifts;Classification and clustering;Function
approximation;
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Concepts
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Applications of CI in real-world problems:
Real-time water treatment process control with ANN (Zhang et
al., 1999);Classification and diagnostic prediction of cancers
(Khan et al., 2001);Hybrid approach to solve the team allocation
problem (Britto et al., 2012);Regression testing prioritization
based on FIS (Neto et al., 2012);Classification of social network
users (Lima; Machado, 2012);Power system harmonics estimation
(Holanda et al., 2013);Hydrothermal Power Systems Operation
Planning (Antunes et al., 2014);Sentiment Classification (Anchieta
et al., 2015);Improving the Performance of IoT Applications (Sobral
et al., 2015);
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Applications
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Another applications of CI in real-world problems:
Robotic;Natural Language Processing;Facial and speech
recognition;Game playing;Healthcare;Finance & Banking;Machine
Learning;Military Equipment;
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Applications
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Computational Intelligence Tools:When a researcher needs to use
CI techniques, it is necessary to implement them and adapt them to
the specific problem;Programming languages: Java, Python,
C++;Frameworks/Tools/APIs:
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Implementation
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High Development CostDifficult to reuseError Prone
ImplementationsInappropriate ToolsHybrid SystemsDifficult to
Perform ExperimentsIntegration with others Systems17
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ComputationalIntelligence
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Cloud Computing
CIaaSComputational Intelligenceas a Service (CIaaS)
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Athena
http://athenasystems.com.br
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Future of CI
Advancements in the technologies used in CI:
Hybrid systems;New techniques/algorithms;
New applications and uses of CI:Internet of Things
(IoT);Ubiquitous and pervasive computing;And othersJoin us! Use
Athena to create Intelligent Systems;
Books:
Computational Intelligence: An IntroductionAndries
Engelbrecht;
Computational Intelligence: Principles, Techniques and
ApplicationsAmit Konar;
Computational Intelligence: Concepts to ImplementationsRussell
Eberhart;
Intelligent Systems for Engineers and ScientistsAdrian
Hopgood;
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References
Image source:Image 1:
http://www.gazeta-shqip.com/lajme/2015/12/24/shkencetaret-zbulojne-gjenet-e-inteligjences-ne-tru/Image
2:
http://www.teknikfreak.se/tekniknyheter/44495/Tekniken_har_lart_sig_att_uppfatta_manniskors_kanslor_och_ansiktsuttryck.aspxImage
3: http://www.muycomputer.com/2016/02/15/robots-impacto-socialImage
4: http://queenstownholidays.com/gallery/ Image 5:
http://www.traveltop.net/maid-of-the-mist-vii-niagara-falls-ontario-canada/Image
6: http://www.lagoinha.com/ibl-vida-crista/uma-boa-ideia/
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References
Computational Intelligence: concepts and applications using
Athena
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Pedro Almir Martins de
[email protected]://athenasystems.com.br
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