Abstract
The research of multi-agent systems which autonomous agents are able to learn the cooperative behavior is expected in recent years. In our laboratory, we aim at the group behavior generation of the multi-agents who have excellent autonomous learning ability like human through the social interaction between agents to acquire the coordinative behavior. The sharing of environment state can improve the cooperation ability and changing the environment state to the information among agents will get the better cooperation ability. On this basis, we use the reward redistribution among agents to reinforce the group behavior and propose a construction method of the multi-agent system with an autonomous group creation ability, which is able to strengthen the cooperative behavior of the group, as a social agent.
