2A1-J09 SWARMエージェントの協調行動における個性の創発(進化・学習とロボティクス)

概要

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This study focuses on emergence of heterogeneous personal characteristics in a society. Such characteristics can be observed in not only human but also many organism, and deeply effect on personal making-decision and action. This paper treats with a swarm-agent model in order to examine how and what heterogeneous personal characteristics come out. A pursuit problem is set for the swarm-agent to efficiently capture a run-away object in cooperation. An artificial neural network (ANN) is adopted for the swarm-agent intelligence and evolutionary computation is applied to figure out the problem. After numerical simulations, it is observed that swarm parameters, determining agents' characteristics, for each agent are differently developed.
一般社団法人日本機械学会の論文
2007-05-11