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No. 58 (1999/09) >

 
Title :マルチエージェント系における競合共進化型学習の性能評価
Title alternative :The performance evaluation of competitive co-evolution in multi-agent system.
Authors :玉城, 清政
玉城, 斉
山田, 孝治
遠藤, 聡志
Authors alternative :Tamashiro, Kiyomasa
Tamaki, Tadashi
Yamada, Koji
Endo, Satoshi
Issue Date :Sep-1999
Abstract :One of the important issues in intelligent systems and robotics is to develop an efficient method to control multi-agent system. In order to work multi-agent system well as problem solver, it's so significant to create cooperative behaviors among the agents. In the multi-agent system, the behaviors of cooperation emerged as the results of suitable role learning by each agent. In this paper, we evaluate reinforcement learning, genetic algorithm and competitive co-evolution algorithm from the viewpoint of adaptability to different environment as the learning method of multi-agent system, and discuss the property of each technique.
Type Local :紀要論文
ISSN :0389-102X
Publisher :琉球大学工学部
URI :http://hdl.handle.net/20.500.12000/14710
Citation :琉球大学工学部紀要 no.58 p.143 -149
Appears in Collections:No. 58 (1999/09)

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