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Simulating Realistic Social and Individual Behavior in Agent SocietiesBy: Kenny Wong and Robin Jha Advisor: Yu Zhang
Why?-Simulations becoming a useful tool for Social
Scientists
-Reproducing human decision making can help
reproduce human behavior
-Simulations would allow scientists to investigate
situations that would be difficult to reproduce or
require humans to be put in dangerous situations
Results
Random Dynamic
Cluster Analysis For Measuring
Social Convention
-used to group objects, persons or concepts into
homogeneous classes on the basis of their
similarities
-Local Clustering Coefficient
-of a vertex in a graph quantifies how close its
neighbors are to being a complete
-Global Clustering Coefficient
-gives an indication of the clustering in the
whole network
Memory-An agents memory is made up of all the
interactions its been in.
-We define the set of memories M by
M=I*.
-I* denotes a string of elements of I.
Future Work
-Use a new metric based on cluster analysis
to predict social convergence in social systems
-Use cluster analysis to predict if the system has
reached a stable state.
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