Abstract
This paper deals with quasi-ecosystem and evolutionary learning method for agents in the quasi-ecosystem. The quasi-ecosystem is composed of plant and herbivore agents, which are in a relationship of parasitism. The selfish behavior which satisfies themselves leads to extinction because resource in the environment is finite. Evolutionary computation is adopted to update feed rules of herbivore agents. Extinction can be avoided by maintaining numerical balance between each species. The effectiveness of the proposal approach is demonstrated by computer simulations.
