Abstract
Recently, systems are becoming more complex and larger than ever, so numerous attempts have been made by researchers to introduce biological features into artificial systems, because many biological systems in the nature exist as one of the most complex systems. In this paper, we paid attention to symbiotic learning and evolution among creatures. The purpose of this paper is to introduce a new modeling technology using the concept of symbiosis, and propose a new learning and evolutionary method named Masbiole for the multiagents systems, which uses symbiotic strategies such sa mutualism, competition, predation and altuism to realize the symbiotic relations among agents consisted of neural networks. Further more, it is stated that Masbiole has pareto optimal solutions instead of common optimal solutions. From the simulations of Masbiole, it has been clarified that Masbiole can be a basic algorithm to realize the multi agent systems with symbiotic relations.
