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Experts' systems instead of expert systems

AI & Society, 1995
By studying several cases of expert systems' use, a variety of difficulties were identified as directly depending on specific characteristics of experts and their tasks. This concerns more than the questions: “May experts be replaced by machines?” or “Is experts' knowledge explicable?”.
Thomas Herrmann, Katharina Just
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Expert systems

American Journal of Health-System Pharmacy, 1994
The concept of computerized expert systems is explained, the potential utility of these systems in pharmacy is explored, and strategies and imperatives for implementing them are described. Computerized expert systems attempt a higher level of analysis than traditional computer programs. They can be defined as systems that attempt to make or assist in a
R, Morrell, B, Wasilauskas, R, Winslow
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Expert systems and expert behavior

Journal of Medical Systems, 1992
Iliad 4.0 and QMR 2.03 are computer-based diagnostic knowledge bases that can play many roles in decision support and other areas of medical practice, but neither appears ready to assume the role of an expert diagnostic consultant. In contrast to human experts, these programs have problems related to recognition of their own limitations, interpretation
W, Sumner, E K, Shultz
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Expert systems seminar

Proceedings of the ACM '81 conference on - ACM 81, 1981
In recent years there has been significant progress in developing computer programs that can perform technical tasks normally thought to require the knowledge, experience and judgment of human specialists. Known as expert systems or knowledge-based systems, these programs have achieved high levels of performance at such diverse but specialized tasks as
Bruce G. Buchanan, Richard O. Duda
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Expert Characteristics: Implications for Expert Systems

2021
While expert systems are artificial intelligence (AI) agents, they share many common characteristics with human experts. As technology progresses, such systems are not just able to make simple decisions following "simplistic" linear logical protocols; they "behave" as real experts in at least two ways: by demonstrating superb decision-making skills and
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Connectionist expert systems

Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
Two realizations of connectionist expert systems (shells) which facilitate building expert systems when raw data and/or expert rules are available are presented. The knowledge base is represented as a neural network trained either by using past data or using rules.
Nikola K. Kasabov, Lakhmi C. Jain
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Expert systems and hypertext

The Knowledge Engineering Review, 1988
Abstract Expert systems and hypertext are technologies which are coming together. This paper reviews the strengths and weaknesses of expert systems and hypertext. Then the complementarity of the two is both argued and illustrated. Translating expertise from documents into expert systems is difficult, but hypertext systems exploit the ...
Roy Rada, Judith Barlow
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Expert systems: A tutorial

Journal of the American Society for Information Science, 1984
AbstractExpert 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 ...
N. Shahla Yaghmai, Jacqueline A. Maxin
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