2009 | OriginalPaper | Chapter
TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation
Authors : Dora-Luz Flores, Antonio Rodríguez-Díaz, Juan R. Castro, Carelia Gaxiola
Published in: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Publisher: Springer Berlin Heidelberg
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The need to model interactions between people of different cultures, religions and ethnic groups is evident. In Social Simulation, the combination of Artificial Intelligence andMulti-agent Systems has proven to be a good tool for modeling social groups, however much remains to achieve a model which represents a society with differences between individuals. Our proposal is to combine fuzzy logic, semantic networks and transactional analysis for representation of social interactions, taking into account the perception and a psychosocial profile of each individual. This model will facilitate the implementation of socially intelligent agents.