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LCSs in a Nutshell

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Introduction to Learning Classifier Systems

Part of the book series: SpringerBriefs in Intelligent Systems ((BRIEFSINSY))

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Abstract

This chapter aims to introduce readers to Learning Classifier Systems (LCSs) through the lens of an accessible but non-trivial classification problem. It offers a brief summary of the basic concepts and components of an LCS algorithm, concluding with code exercises that pair with this textbook to offer hands-on experience.

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Authors and Affiliations

  1. Department for Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Ryan J. Urbanowicz

  2. School of Engineering & Computer Science, Victoria University of Wellington, Wellington, New Zealand

    Will N. Browne

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  1. Ryan J. Urbanowicz
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  2. Will N. Browne
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Correspondence to Ryan J. Urbanowicz .

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Urbanowicz, R.J., Browne, W.N. (2017). LCSs in a Nutshell. In: Introduction to Learning Classifier Systems. SpringerBriefs in Intelligent Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55007-6_1

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  • DOI: https://doi.org/10.1007/978-3-662-55007-6_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-55006-9

  • Online ISBN: 978-3-662-55007-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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