An Artificial Immune System Model for Multi Agents based Resource Discovery in Distributed Environments

From the point of view of information technology the immune system is a highly parallel and distributed intelligent system which has learning, memory, and associative capabilities. Artificial immune system is a novel evolutionary paradigm inspired by the biological aspects of the immune system of mammals. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper discusses the behavioral management of artificial intelligence namely the intelligent multi agent systems, and the evolutionary computation called the artificial immune system that imitates the biological theory called the immune system. We present how two concepts from the talk are fused into an artificial intelligent agent system for detecting resources in distributed computing environments and examine how our model can be applied and show that the model can solve an intricate problem successfully through the simulation