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

Bull, Larry

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


Authors

Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor



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.

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

Journal Article Type Article
Publication Date Sep 26, 2015
Deposit Date Jun 17, 2015
Publicly Available Date Mar 29, 2024
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
DOI https://doi.org/10.1007/s12065-015-0125-y
Keywords evolution
Public URL https://uwe-repository.worktribe.com/output/828888
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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