Simulation Analysis of Agents with Multiple Action Strategies using Collaborative Pattern Task

Abstract

Understanding of human flexible cooperative behavior is important for making social agents and robots, and also construction of cooperative models and simulations are significant for constructive understanding of human group behavior. We have analyzed human group behavior including intention inference in groups and modeled their action selection process using cooperative pattern task so far. As a result, while some methods of intention inferencing and differences of roles in the groups have been revealed, subjects’ behaviors are not enough to explain. Therefore to extend our model, we implement leading behaviors for explicit expression of their roles and intention in the groups observed in subjects experiments in the pattern task.