Dynamic behavior modeling in multi-agent system by evolutionary programming

In a multi-agent system, each agent must adapt itself to the environment and coordinate with other agents dynamically. To predict or cooperate with the behavior of other agents. An agent should dynamically establish and evolve the cooperative behavior model of itself.In this paper, we represent the behavior model of an agent as a finite state machine and propose a new method of dynamically evolving the behavior model of an agent by evolutionary programming.