Abstract
LCSs are designed to solve classification as well as more general reinforcement learning (RL) problems. LCSs solve these problems by evolving a rule-base of classifiers by the means of a critic based on RL techniques for rule evaluation and a GA for rule evolution. Before jumping directly into the LCS arena, we first look at these prerequisites.
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© 2006 Springer
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Butz, M.V. (2006). Prerequisites. In: Rule-Based Evolutionary Online Learning Systems. Studies in Fuzziness and Soft Computing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31231-5_2
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DOI: https://doi.org/10.1007/3-540-31231-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25379-2
Online ISBN: 978-3-540-31231-4
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