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

Volume

3

fYear

2002

fDate

6-9 Oct. 2002

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2002 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7437-1

Type

conf

DOI

10.1109/ICSMC.2002.1176015

Filename

1176015