Title :
Application of artificial immune system based intelligent multi agent model to a mine detection problem
Author :
Sathyanath, Srividhya ; Sahin, Ferat
Author_Institution :
Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA
Abstract :
Biological systems are sophisticated and intelligent information processing systems. They have inspired scientists and engineers to solve complex computational and information processing tasks. This paper presents a novel artificial immune system based intelligent multi agent model named AISIMAM. The model involves the behavioral management of artificial intelligence, namely multi agent systems and artificial immune systems. This paper outlines AISIMAM, concentrates on the mine detection application and discusses the results.
Keywords :
biocybernetics; landmine detection; mobile robots; multi-agent systems; AISIMAM; artificial immune system based intelligent multi agent model; artificial intelligence; behavioral management; biological systems; intelligent information processing systems; mine detection problem; mobile robots; multi agent systems; Artificial immune systems; Artificial intelligence; Biological system modeling; Competitive intelligence; Immune system; Information processing; Intelligent agent; Intelligent systems; Machine intelligence; Shape;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1176015
