利得情報制御による自律分散型エージェントの協調関係の実現

概要

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We consider a system of autonomous distributed agents which make decisions based on their payoff information. In the case that there are some interference caused by task precedence, resource conflicts and so on, realization of cooperation among agents should be an important factor to increase efficiency of the whole system. In this paper we discuss such a problem in the framework of noncooperative game theory, and propose a method of realizing situations in which agents perform cooperatively without damaging their autonomy. We change payoff information indirectly by controlling evaluation parameters for each agent. Numerical results suggest that there is an efficient way of deciding evaluation parameters according to the characteristics of agents.
社団法人人工知能学会の論文
2000-11-01