ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
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This paper takes up the topic of a task of training Grammar-based Classifier System (GCS) to regular grammars from data. GCS is a new model of Learning Classifier Systems in which the population of classifiers has a form of a context-free grammar rule set in a Chomsky Normal Form. Near-optimal solutions or better than reported in the literature were obtained.