Zcs: A zeroth level classifier system

  • Authors:
  • Stewart W. Wilson

  • Affiliations:
  • The Rowland Institute for Science 100 Edwin H. Land Blvd. Cambridge, MA 02142 wilson@smith.rowland.org

  • Venue:
  • Evolutionary Computation
  • Year:
  • 1994

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Abstract

A basic classifier system, ZCS, is presented that keeps much of Holland's original framework but simplifies it to increase understandability and performance. ZCS's relation to Q-learning is brought out, and their performances compared in environments of two difficulty levels. Extensions to ZCS are proposed for temporary memory, better action selection, more efficient use of the genetic algorithm, and more general classifier representation.