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Published in:
2011 | OriginalPaper | Chapter
A Complex Social System Simulation Using Type-2 Fuzzy Logic and Multiagent System
Authors : Dora-Luz Flores, Manuel Castañón-Puga, Carelia Gaxiola-Pacheco
Published in: Advances in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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The need of better representation of complex systems, such social systems, has made that the use of new simulation techniques are increasingly accepted, one of these accepted techniques are multi-agent systems. In addition to represent the uncertainty that is required by them, fuzzy logic and particularly type-2 fuzzy logic are being accepted. A system with three different types of agents is presented as case of study, each agent is assigned to a role with specific goals to be achieved in both ways individually and as teams, the success or failure is determined by group performance rather than individual achievement. It is also taken into account the environment or context as another type of agent. Fuzzy inference systems are defined for each of the agents to represent the concepts interpretation.