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Artificial Intelligence and the Management Science Practitioner: Expert Systems and MS/OR Methodology (Good News and Bad)

Author

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  • Robert M. O'Keefe

    (Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, New York 12180-3590)

Abstract

The expert systems community has generally ignored methodology: problem structuring, method identification, validation, implementation, and evaluation. The good news for the MS/OR community is that we have previously addressed these issues. The bad news is that we haven't developed many practices or procedures that can be directly transferred to expert systems. Many areas of methodology are weak across all the communities that are developing systems to support decision making. As technology becomes increasingly hybrid and easy to use, whichever community develops the best methodology for using it will prosper most.

Suggested Citation

  • Robert M. O'Keefe, 1988. "Artificial Intelligence and the Management Science Practitioner: Expert Systems and MS/OR Methodology (Good News and Bad)," Interfaces, INFORMS, vol. 18(6), pages 105-113, December.
    • Handle: RePEc:inm:orinte:v:18:y:1988:i:6:p:105-113
    DOI: 10.1287/inte.18.6.105
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    Cited by:

    1. Salo, Ahti A., 1995. "Interactive decision aiding for group decision support," European Journal of Operational Research, Elsevier, vol. 84(1), pages 134-149, July.

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    Keywords

    computers: expert systems;

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