Abstract:

Homogeneous team leaning is a method to deal with multiagent coordination. But traditional methods adjust the target agent only before or after the system simulation and the computation for the system simulation does not contribute directly to the improvement of the behavior of the target agent. A homogeneous team learning model based on XCS and the idea of cooperative strategy are purposed in this paper. This model overcomes the deficiency of the traditional method mentioned above. We also analyze the influence of some factors, such as rule accumulation, communication and the ability to explore by GA, on the efficiency of multiagent coordination on the proposed model.

Key words: multiagent learning, learning classifier system, cooperative strategy