Analysis of Action Selection Process using Agent Model Simulation in Cooperative Pattern Task

Abstract

In order to understand human flexible cooperative behavior in a group, we have developed a cooperative pattern task requiring switching of intention and behavior. Through the analysis of the behavioral experiment using the task, subjects’ optimal behavior to a shared target in minimal steps and majority voting based action selection are clarified. In this research, agent models including "self- preferred selection" and "estimation of other agents’ intention" are constructed to reveal implicitly shared unobservable strategy under the subjects’ behavior. Moreover, we analyze the subjects’ action selection process by model-based agent simulation and comparison between subjects’ and agents’ behavior.