Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior

Abstract

This paper addresses a new cooperation technique for multi-agent systems. This technique is based on human social behaviour. According to biological knowledge, the population contributes to the preservation of the species and adaptability to environmental variations. Multiple robot cooperation, therefore, has a potential to be flexible and adaptable to various tasks. Furthermore, sociality based on the performance evaluation of other humans is expected to enhance the whole task performance. Finally, adaptability and the total performance of proposed technique are verified by pursuit survey on the multi-agent system.