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Artificial Intelligence and the Management Science Practitioner: One Definition of Knowledge-Based Expert Systems

Author

Listed:
  • Kenneth Fordyce

    (International Business Machines Corporation, Numerically Intensive and Technical Computing Center, Dept. 34EA, Mail Station 284, Kingston, New York 12401)

  • Peter Norden

    (International Business Machines Corporation, T. J. Watson Research Center, Dept. 432, Room 21-147, Yorktown Heights, New York 10598)

  • Gerald Sullivan

    (International Business Machines Corporation, Advanced Industrial Engineering, Dept. 746, Bld. 965-3, Essex Junction, Vermont 05455)

Abstract

Over the past two years we have attempted, through our writing and the writing of others, to convey to the management science practitioner the value of integrating knowledge-based expert system (KBES) techniques with MS/OR techniques. We firmly believe this will lead to successful applications. We employed this combination to successfully build an application system, called LMS, to monitor and control the IBM semiconductor facility in Essex Junction, Vermont [Feigenbaum, McCorduck, and Nii 1988; Fordyce and Sullivan 1989]. We often find in our work a need for a definition of KBES that does not involve techniques or products. What follows is our present definition of KBES. We are sure it is not the last word on the subject, but we think readers will find it helpful.

Suggested Citation

  • Kenneth Fordyce & Peter Norden & Gerald Sullivan, 1989. "Artificial Intelligence and the Management Science Practitioner: One Definition of Knowledge-Based Expert Systems," Interfaces, INFORMS, vol. 19(5), pages 66-70, October.
    • Handle: RePEc:inm:orinte:v:19:y:1989:i:5:p:66-70
    DOI: 10.1287/inte.19.5.66
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    Keywords

    computers; artificial intelligence;

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