Artificial Immune System (AIS) is a novel evolutionary paradigm inspired by the biological aspects of the immune system. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper discusses two concepts. (a) The behavioral management of artificial intelligence (AI) namely the intelligent multi agent systems, (b) The evolutionary computation called the artificial immune system that imitates the biological theory called the immune system. The outcome of this research is an Artificial Immune System based Intelligent Multi Agent Model named AISIMAM that solves agent-based applications. The model is applied to a mine detection and diffusion problem and the results prove that AISIMAM has solved the problem successfully.

Date of creation, presentation, or exhibit



Proceedings of the ICARIS 2002 1st International Conference on Artificial Immune Systems (2002) This research is conducted with the support of Gleason R&D Funds in Multi-agent Bio-Robotics Lab (MABL) at Rochester Institute of Technology.Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Paper

Department, Program, or Center

Microelectronic Engineering (KGCOE)


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