Titlebook: Learning Classifier Systems; International Worksh Tim Kovacs,Xavier Llorà,Stewart W. Wilson Conference proceedings 2007 Springer-Verlag Ber

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0302-9743 that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions. The topics presented in this volume summarize the wide spectrum of interests of the Learning Classi?er Systems

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Use of Learning Classifier System for Inferring Natural Language Grammar the grammar of a given natural language from an exemplary set of correct and incorrect sentences. A genetic algorithm used periodically strengthens LCS’s operation. A context-free grammar is used in the description of language structure.

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Backpropagation in Accuracy-Based Neural Learning Classifier Systemsncoding. We have presented a neural network-based representation to aid their use in complex problem domains. Here each rule’s condition and action are represented by a small neural network, evolved through the actions of the genetic algorithm. In this paper we present results from the use of backpr

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