Reasearch on the Multi-Agent Modeling and Simulating Method of CAS and the Agent Rule Learning

Author

Ma, Xiao-Ping ; Ni, Jian-Jun ; Xu, Li-Zhong

Author_Institution

School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221008, China; E-MAIL: xpma@cumt.edu.cn

Volume

1

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

243

Lastpage

248

Abstract

The multi-Agent modeling and simulating method of complex adaptive system (CAS) is one of the representative subjects for research in the field of complexity science. A framework for the multi-Agent modeling and simulating method of CAS is set up, which is based on the analysis of this method’s requirements. Aim at the deficiency exists in the agent rule learning and evolving based on genetic algorithm, an Agent rule learning method based on improved immune genetic algorithm is proposed. Finally, two experiments of the application of this method in the interbasin water transfer management system are given out, based on SWARM platform, to verify the validity of this method.

Keywords

Agent rule learning and evolving; Complex adaptive system; interbasin water transfer management; multi-Agent modeling and simulating; Adaptive systems; Analytical models; Computational modeling; Computer simulation; Content addressable storage; Educational institutions; Electronic mail; Genetic algorithms; Laboratories; Learning systems; Agent rule learning and evolving; Complex adaptive system; interbasin water transfer management; multi-Agent modeling and simulating;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1526952

Filename

1526952