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A Fuzzy Model-based Virtual Theme Park Simulator and Evaluation of Agent Action Models


Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi


Vol. 10  No. 2  pp. 6-11


Agent-based simulation is a promising approach to social system analysis. This paper considers a fuzzy model-based virtual theme park simulator, in which each agent has a unique preference and acts with its own rule defined by a fuzzy model. Each agent model is designed to imitate a human subject whose responses to a questionnaire are used in defining the action rule of his/her agent. Experimental results demonstrate that the proposed simulator can reproduce situations reflecting the answers of many human subjects. The validity of the simulation model is also checked by human subjects through an experiment that compares the results of the simulation with their expectations.


Social simulation, multi-agent, fuzzy modeling