An Artificial Immune System Model for Multi-Agents Resource Sharing in
  Distributed Environments
  Natural Immune system plays a vital role in the survival of the all living
being. It provides a mechanism to defend itself from external predates making
it consistent systems, capable of adapting itself for survival incase of
changes. The human immune system has motivated scientists and engineers for
finding powerful information processing algorithms that has solved complex
engineering tasks. This paper explores one of the various possibilities for
solving problem in a Multiagent scenario wherein multiple robots are deployed
to achieve a goal collectively. The final goal is dependent on the performance
of individual robot and its survival without having to lose its energy beyond a
predetermined threshold value by deploying an evolutionary computational
technique otherwise called the artificial immune system that imitates the
biological immune system.
