One of the important issues in intelligent systems and robotics is to develop an efficient method to control multi-agent system. In order to work the multi-agent system well as the problem solver, it's so significant to create cooperative behaviors among the agents. In the multi-agent system, the behaviors of cooperation emerged as the results of suitable role learning by each agent. In this paper, we design some fundamental computer experiments to investigate the emergence of cooperative behaviors in reinforcement learning based multi-agent system. We show that role learning for acquiring cooperative behaviors according to the result of these experiments.
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