DocumentCode :
3277101
Title :
Multi-Agent Coevolutionary Learning Method Based on Individual Rule Set
Author :
Xue Hongtao ; Shen Lincheng ; Zhu Huayong ; Zhang Daibing ; Xiang Xiaojia
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
16-18 Jan. 2013
Firstpage :
978
Lastpage :
981
Abstract :
The process of cooperative or competitive co evolutionary learning exist among multiple species in the ecological and artificial system, which is one of the primary features for emergent phenomena and behaviors. In this paper, we propose a multi-agent co evolutionary learning method based on the individual rule set, define the co evolutionary learning framework. We design a typical "predator-prey" competition system as an example, define the rule set and implement the system by multi-agent modeling language, Net Logo. With simulation experiments of the birds-bugs prey problem, we analyze emergent behaviors in the process of co evolutionary learning.
Keywords :
evolutionary computation; learning (artificial intelligence); multi-agent systems; simulation languages; NetLogo; artificial system; birds-bugs prey problem; competitive coevolutionary learning; cooperative coevolutionary learning; ecological system; individual rule set; multiagent coevolutionary learning method; multiagent modeling language; predator-prey competition system; Analytical models; Birds; Computer bugs; Learning systems; Predator prey systems; Sociology; Statistics; Coevolutionary Learning; Emergent Behavior; Multi-Agent System; NetLogo; Rule Set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
Type :
conf
DOI :
10.1109/ISDEA.2012.233
Filename :
6456181
Link To Document :
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