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

Bull, Larry

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
• 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