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Erschienen in:
2000 | OriginalPaper | Buchkapitel
State of XCS Classifier System Research
verfasst von : Stewart W. Wilson
Erschienen in: Learning Classifier Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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XCS is a new kind of learning classifier system that differs from the traditional kind primarily in its definition of classifier fitness and its relation to contemporary reinforcement learning. Advantages of XCS include improved performance and an ability to form accurate maximal generalizations. This paper reviews recent research on XCS with respect to representation, internal state, predictive modeling, noise, and underlying theory and technique. A notation for environmental regularities is introduced.