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A brief history of learning classifier systems: from CS-1 to XCS and its variants

Bull, Larry

Authors

Lawrence Bull Larry.Bull@uwe.ac.uk
AHOD Research and Scholarship and Prof



Abstract

© 2015, Springer-Verlag Berlin Heidelberg. The direction set by Wilson’s XCS is that modern Learning Classifier Systems can be characterized by their use of rule accuracy as the utility metric for the search algorithm(s) discovering useful rules. Such searching typically takes place within the restricted space of co-active rules for efficiency. This paper gives an overview of the evolution of Learning Classifier Systems up to XCS, and then of some of the subsequent developments of Wilson’s algorithm to different types of learning.

Journal Article Type Article
Publication Date Sep 26, 2015
Journal Evolutionary Intelligence
Print ISSN 1864-5909
Electronic ISSN 1864-5917
Publisher Springer (part of Springer Nature)
Peer Reviewed Peer Reviewed
Volume 8
Issue 2-3
Pages 55-70
APA6 Citation Bull, L. (2015). A brief history of learning classifier systems: from CS-1 to XCS and its variants. Evolutionary Intelligence, 8(2-3), 55-70. https://doi.org/10.1007/s12065-015-0125-y
DOI https://doi.org/10.1007/s12065-015-0125-y
Keywords evolution
Publisher URL http://dx.doi.org/10.1007/s12065-015-0125-y
Additional Information Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/s12065-015-0125-y

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