Abstract
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.
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Unold, O. (2008). Inducing Regular Languages Using Grammar-Based Classifier System. In: Clark, A., Coste, F., Miclet, L. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2008. Lecture Notes in Computer Science(), vol 5278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88009-7_28
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DOI: https://doi.org/10.1007/978-3-540-88009-7_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88008-0
Online ISBN: 978-3-540-88009-7
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