Two Views of Classifier Systems

  • Authors:
  • Tim Kovacs

  • Affiliations:
  • -

  • Venue:
  • IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
  • Year:
  • 2001

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Abstract

This work suggests two ways of looking at classifier systems; as Genetic Algorithm-based systems, and as Reinforcement Learning-based systems, and argues that the former is more suitable for traditional strength-based systems while the latter is more suitable for accuracy-based XCS. The dissociation of the Genetic Algorithm from policy determination in XCS is noted.