AISIMAM – An Artificial immune system based intelligent multi agent model and its application to a mine detection problem

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Title: AISIMAM – An Artificial immune system based intelligent multi agent model and its application to a mine detection problem
Author: Sathyanath, Srividhya; Sahin, Ferat
Abstract: 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.
Record URI: http://hdl.handle.net/1850/9002
Date: 2002-09

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