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No. 58 (1999/09) >
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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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