A study on effect of user preference variety in virtual theme park simulation

Agent-based simulation is a useful approach to behavior analysis in a social system. This paper considers a fuzzy model-based virtual theme park simulator, in which each agent has a unique preference and acts in accordance with its own rules, as defined by a fuzzy model. In the behavior analysis, the effect of user preference variety is analyzed with various settings. It is demonstrated that a certain bias in preference variety can be absorbed by selecting the second-best attractions, although larger biases can cause an increase of considerable displeasure.