제어로봇시스템학회:학술대회논문집
- 1998.10a
- /
- Pages.507-512
- /
- 1998
Evolutionary Design of a Fuzzy Logic Controller for Multi-Agent Systems
- Jeong, Il-Kwon (Department of Electrical Engineering Korea Advanced Institute of Science and Technology) ;
- Lee, Ju-Jang (Department of Electrical Engineering Korea Advanced Institute of Science and Technology)
- Published : 1998.10.01
Abstract
It is an interesting area in the field of artificial intelligence to and an analytic model of cooperative structure for multi-agent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent co-operative behavior: A modified genetic algorithm was applied to automating the discovery of a fuzzy logic controller jot multi-agents playing a pursuit game. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to and the fuzzy logic controller seems to be promising.
Keywords