Kota Itoda

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.

Flexible and cooperative human group behavior are realized by changing our intentions and behaviors based on dynamic estimation of other participants ’intention, and also adjustment of self and others’intention. We analyze human small group behavior using cooperative pattern task in 2D grid world to clarify an individual action selection process including inference of others ’intention and adjustment of intention among participants. In previous research, we have constructed behavior strategy models based on the human behavioral experiments, implemented the models to cooperative agents, and confirmed the goal achievement in almost the same steps to humans in the agent simulations. In this research, we analyze combinations of human behavior strategies realizing group behavior by comparing agent behavior to subjects behavior.