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http://dx.doi.org/10.5391/JKIIS.2002.12.4.289

Behavior strategies of Soccer Robot using Classifier System  

Sim, Kwee-Bo (중앙대학교 전자전기 공학부)
Kim, Ji-Youn (중앙대학교 전자전기 공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.4, 2002 , pp. 289-293 More about this Journal
Abstract
Learning Classifier System (LCS) finds a new rule set using genetic algorithm (GA). In this paper, The Zeroth Level Classifier System (ZCS) is applied to evolving the strategy of a robot soccer simulation game (SimuroSot), which is a state varying dynamical system changed over time, as GBML (Genetic Based Machine Learning) and we show the effectiveness of the proposed scheme through the simulation of robot soccer.
Keywords
로봇 축구 시뮬레이션;분류자 시스템;기계 학습;진화 연산;자율 이동 로봇;
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