Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System Approch

In this paper the Biological Immune System is considered and a model based on Immune System behavior is proposed. For simulation of proposed model, agent's structure and the Multi Agent System are established based on the Capra Model. To implement the proposed model we used reaction agents in Netlogo environment. Finally the effects of learning, adaptation and interaction capabilities in system robustness are considered.