An Evolutionary Control Model for a Generic Multiagent System Using Artificial Immune Systems

In this paper we propose a method for controlling the behaviour of agents in a multiagent environment. We demonstrate here that functionalities of the biological immune systems are apt to apply in multiagent systems. The AISbased multiagent system consists of a set of exploring agents in the workspace to find a task. When agents see a task they bid to do it, wining of bidders is based on the ability of them to do the task. The one with a higher ability will gain on the task. After achieving a task, the agent matures itself as a result of competence, avoiding the other agents to grab the task. Agent also requests help when even after maturation is not able to do the task entirely by its own. Through this mechanism, a self-organized, distributed system with complete interactions between components is achieved.Experimental results are presented, proving the efficiency of the overall system.

Keywords:

Multi agent system , Artificial Immune System