Some dimensions of problem complexity for XCS

Tim Kovacs, Kerber Manfred, Wu Annie S.

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Despite two decades of work, learning classifier systems researchers have had relatively little to say on the subject of what makes a problem difficult for a classifier system. One focus of our work has been the issue of what makes a problem difficult for XCS -- Wilson's recent accuracy-based classifier system. This document outlines the approach taken, provides some initial results and outlines possible directions for future work. [This work is subsumed by "What makes a problem hard for XCS?". A chapter in Advances in Learning Classifier Systems. P. L. Lanzi, W. Stolzmann, S. W. Wilson, (eds.), pp. 80–99. April 2001]
Translated title of the contributionSome dimensions of problem complexity for XCS
Original languageEnglish
Title of host publicationProceedings of the GECCO-2000 Graduate Student Workshop
Publication statusPublished - 2000

Bibliographical note

Other page information: -
Conference Proceedings/Title of Journal: Proceedings of the GECCO-2000 Graduate Student Workshop
Other identifier: 2001080

Fingerprint

Dive into the research topics of 'Some dimensions of problem complexity for XCS'. Together they form a unique fingerprint.

Cite this