F-1231 擬似生態系における群ロボットのGAに基づく行動学習(G15-2 ロボットの知能化制御)(G15 ロボティクス・メカトロニクス部門一般講演)

概要

論文の詳細を見る
This paper deals with behavioral evolution of multiple robots in a quasi-ecosystem. An ecosystem model composed of insects and plants, which are in a relationship of parasitism, is simulated on the discrete cell space. In this ecosystem, the plants become easy to be eliminated as the population size of the insects increases. Consequently, it is required to maintain numerical balance of plants and insects in the quasi-ecosystem. Therefore, multiple robots are introduced to remove some insects from the quasi-ecosystem. However, if the robots eliminate all of insects, the viruses will eliminate the plants owing to diseases. In this ecosystem with complicated relationship, the robots should acquire strategies to maintain plants. In this paper, we use simple if-then rules and apply genetics-based machine learning for acquiring a strategy for removing insects. Furthermore, we show several simulation results of behavior learning of multiple robots.
2001-08-22