A Reinforcement Learning System Mimicking Brain Information Processing

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In this research, a reinforcement learning system mimicking brain information processing has developed to emerge cooperative behavior in a multi-agent system. The developed system has a state predictive function of other agents, an autonomous construction function of the system structure, and also the ability to adapt a time-varying environment. It was shown that it could emerge cooperative behavior through both computer simulations and real robot experiments.