SCIS & ISIS
SCIS & ISIS 2010
セッションID: TH-E1-1
会議情報
Approach for Agent Actions' Acquiring Method using Ant Colony Optimization
*Hisayuki Sasaoka
著者情報
会議録・要旨集 フリー

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抄録
This paper has presented an acquiring method for agents' actions using Ant Colony Optimization (ACO) in multi-agent system. ACO is one of powerful meta-heuristics algorithms and researchers have reported the effectiveness of applications with the algorithm. We have developed the experimental system with soccer agents using ACO in RoboCup Soccer Simulation League and have reported the results of some experiments with our system.
著者関連情報
© 2010 Japan Society for Fuzzy Theory and Intelligent Informatics
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