TREAT: a better match algorithm for AI production systems

  • Authors:
  • Daniel P. Miranker

  • Affiliations:
  • Department of Computer Sciences, University of Texas at Austin, Austin, Texas

  • Venue:
  • AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
  • Year:
  • 1987

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Abstract

This paper presents the TREAT match algorithm for AI production systems. The TREAT algorithm introduces a new method of state saving in production system interpreters called conflict-set support. Also presented are the results of an empirical study comparing the performance of the TREAT match with the commonly assumed best algorithm for this problem, the RETE match. On five different OPS5 production system programs TREAT outperformed RETE, often by more than fifty percent. This supports an unsubstantiated conjecture made by McDermott, Newell and Moore, that the state saving mechanism employed in the RETE match, condition-element support, may not be worthwhile.