Abstract
The last chapter gave a concise introduction to the accuracy-based XCS classi fier system. We saw that XCS is designed to evolve online a complete, maximally accurate, and maximally general solution to the problem at hand (e.g. by approximating the Q-value function). The accuracy-based approach assures that no strong overgenerals are possible since the maximally accurate classifiers receive maximal fitness.
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© 2006 Springer
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Butz, M.V. (2006). How XCS Works: Ensuring Effective Evolutionary Pressures. 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_5
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DOI: https://doi.org/10.1007/3-540-31231-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25379-2
Online ISBN: 978-3-540-31231-4
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