Control requirements for the design of production system architectures

  • Authors:
  • Michael D. Rychener

  • Affiliations:
  • Departrnenl of Compuler Science, Carnegie-Mellon University, Pittsburgh, PA

  • Venue:
  • Proceedings of the 1977 symposium on Artificial intelligence and programming languages
  • Year:
  • 1977

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Abstract

Programs in the artificial intelligence domain impose unusual requirements on control structures. Production systems are a control structure with promising attributes for building, generally intelligent systems with large knowledge bases. This paper presents examples to illustrate the unusual position taken by production systems on a number of control and pattern-matching issues. Examples are chosen to illustrate certain powerful features and to provide critical tests which might be used to evaluate the effectiveness of new designs.