Learning classifier systems
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found: Work cat.: Design and analysis of learning classifier systems, c2008:p. vii (learning classifier systems (LCS), flexible architecture combining power of evolutionary computing with machine learning; also referred to as genetic-based machine learning) p. 5 (learning classifier systems, family of machine learning algorithms based on population of rules (also called "classifiers") formed by condition/action pait, competing and cooperating to provide desired solution; Wilson introduced simplified versions ZCS and XCX) p. 6 (state-of-the-art machine learning algorithm applied in many areas incl. autonomous robotics, multi-agent systems, economics, traffic light control) p. 19 (Holland orig. introduced learning classifier systems as extension of genetic algorithms (GA's) to machine learning)
found: Foundations of learning classifier systems, c2005:p. 1 (learning classifier systems (LCS), machine learning technique that combines evolutionary computing, reinforcement learning, supervised or unsupervised learning, and heuristics to produce adaptive systems)
found: Robot shaping, 1998:p. 21 (learning classifer systems, class of machine learning models; parallel production rule system in which reinforcement learning is used to change rules' strength, and evolutionary learning is used to search in rule space)
found: Wikipedia, Jan. 12, 2009(learning classifer system (or LCS), machine learning system with links to reinforcement learning and genetic algorithms)
notfound: Dictionary of computing, 2008
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2009-01-13: new
2009-08-13: revised
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