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Expert systems: A tutorial

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  • N. Shahla Yaghmai
  • Jacqueline A. Maxin

Abstract

Expert systems are intelligent computer applications that use data, a knowledge base, and a control mechanism to solve problems of sufficient difficulty that significant human expertise is necessary for their solution. Expert systems use artificial intelligence problem‐solving and knowledge‐representation techniques to combine human expert knowledge about a problem area with human expert methods of conceptualizing and reasoning about that problem area. As a result, it is expected that such systems can reach a level of performance comparable to that of a human expert in a specialized problem area. The high‐level knowledge base and associated control mechanism of expert systems are in essence a model of the expertise of the best practitioners of the problem area in question and, hence, human users are provided with expert opinions about problems in that area. Expert systems do not pretend to give final or ultimate conclusions to displace human decision making; they are intended for consulting purposes only.

Suggested Citation

  • N. Shahla Yaghmai & Jacqueline A. Maxin, 1984. "Expert systems: A tutorial," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 35(5), pages 297-305, September.
    • Handle: RePEc:bla:jamest:v:35:y:1984:i:5:p:297-305
    DOI: 10.1002/asi.4630350508
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    Cited by:

    1. Jian Tang & Hao Tian & Tianzheng Wang, 2024. "A Review of Model Predictive Control for the Municipal Solid Waste Incineration Process," Sustainability, MDPI, vol. 16(17), pages 1-35, September.

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