A fuzzy model-based community simulator for behavior analysis in virtual theme park

In order to achieve universal contents creation/distribution in a network community, it is necessary to create an environment in which anyone can produce any content they wish and in which content can be accessed while ensuring reliability. This paper considers a fuzzy model of a community simulator for behavior analysis in a virtual theme park that can be identified with a constrained network community. A number of agents with various tastes, whose action patterns are modeled based on answers from respondents to a questionnaire, act autonomously according to their action rules in the multi-agent system. Experimental results demonstrate that such fuzzy model-based agents are useful for analyzing the behaviors of guests in a large scale theme park.