Abstract
This paper deals with behavioral evolution of multiple robots in a quasi ecosystem. An ecosystem model composed of insects and plants, which is in a relationship of parasitism, is simulated on a 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 insects suitable to the facing environmental condition in the quasi ecosystem. 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.
