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Expert knowledge, expert systems and commercial interests

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  • Pollitzer, Elizabeth
  • Jenkins, John

Abstract

Experience to date in building expert systems has brought a general realization of the complexity of the effort required for producing systems capable of operating on 'real-world' problems. The most successful knowledge-based/expert systems built to date, e.g. DENDRAL, MYCIN, PROSPECTOR and R1 have demonstrated that a considerable investment in time and dedication on the part of systems designers and experts is required to create a fully operational system. The great majority of development projects attempting to harness this new programming technology do not extend beyond creation of a prototype system largely due to lack of necessary resources, i.e. time, money and know-how. The purpose of this paper is to discuss some of the more important issues associated with development of expert systems and to provide an overview of the commercial and industrial efforts of putting expert systems to work. This paper should be of interest to those who have gained their knowledge of expert systems from the reading of non-specialist publications and thus may have been exposed to somewhat over enthusiastic accounts of the subject.

Suggested Citation

  • Pollitzer, Elizabeth & Jenkins, John, 1985. "Expert knowledge, expert systems and commercial interests," Omega, Elsevier, vol. 13(5), pages 407-418.
  • Handle: RePEc:eee:jomega:v:13:y:1985:i:5:p:407-418
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    Cited by:

    1. Moore, James S, 1998. "An Expert System Approach to Graduate School Admission Decisions and Academic Performance Prediction," Omega, Elsevier, vol. 26(5), pages 659-670, October.

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