Chaomei Chen, Roy Rada · 2019
This chapter aims to identify reasons for the relative weakness of the link and clarify issues that will be essential to the strengthening of such a link and thereby increase the usability of expert systems as a whole. The knowledge of several human experts can be combined to give a system more breadth than a single person is likely to achieve. Human experts automatically adapt to changing environments; expert systems must be explicitly updated. Expert systems raise new design issues concerning three separate but highly interacting aspects of a design process: knowledge capture, encoding the knowledge and expertise into the system, and ensuring that the system is accepted by an active user community. Intelligent interfaces that are based on expert systems technology will either need enhancements to their user model or else the use input will be constrained to be rather specific to avoid the problems of ambiguity in language.
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Andrew Martin, RKH Law · Information and Software Technology · 1988
Cited by 11
Schrauwen, R.J.G.M., Roling, N.G., Blokker, K.J. · Data Archiving and Networked Services (DANS) · 1987
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Jana Šimková · Digital Repository (National Repository of Grey Literature) · 2010
The main point of the work is an identification with NPS32 expert system, the describtion of the ways of getting knowledges. By choosing a suitable district for the expert system aplication, the suggestion of the knowledge base for the district will have been the result of the work.
Cited by 0
Jana Šimková · Digital Repository (National Repository of Grey Literature) · 2010
The main point of the work is an identification with NPS32 expert system, the describtion of the ways of getting knowledges. By choosing a suitable district for the expert system aplication, the suggestion of the knowledge base for the district will have been the result of the work.
Cited by 0
riya laskar, riya laskar · Zenodo (CERN European Organization for Nuclear Research) · 2025
Cited by 0Open access
Kisku, Burulukui · Zenodo (CERN European Organization for Nuclear Research) · 2025
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2024
Citation: 'expert system' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11441 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.
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Nicholas Enticknap · Elsevier eBooks · 1989
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riya laskar, riya laskar · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Šimková, Jana · Brno University of Technology Digital Library (Brno University of Technology) · 2010
Cílem práce je seznámení s expertním systémem NPS32, popis metod získávání znalostí. Výsledkem práce bude po vybrání vhodné oblasti pro aplikaci expertního systému, návrh báze znalostí pro tuto oblast.
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Schrauwen, R.J.G.M., Roling, N.G., Blokker, K.J. · Socio-Environmental Systems Modeling · 1987
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Kovalenko, K. · Electronic Sumy State University Institutional Repository (Sumy State University) · 2012
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Kisku, Burulukui · Zenodo (CERN European Organization for Nuclear Research) · 2025
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BENTHAM SCIENCE PUBLISHERS eBooks · 2021
Knowledge representation and automated reasoning are part of the attributes of an intelligent system. These two attributes are used to form the two main components of an expert system, which are the knowledge base and inference engine. Since Artificial Intelligence deals with the study and design of a system that acts like a human, therefore, studying and designing a system that acts like a human expert in any profession qualifies to be called Artificial Intelligence.
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2005
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Marianne F. Ostrowsky, Ruth C. Swezey · ISA Transactions · 1989
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Peter Révay · 1985
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Suzuki Kazuhiko · 1996
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Mary Ellen Prince · NASA STI Repository (National Aeronautics and Space Administration) · 1987
The expert system is a computer program which attempts to reproduce the problem-solving behavior of an expert, who is able to view problems from a broad perspective and arrive at conclusions rapidly, using intuition, shortcuts, and analogies to previous situations. Expert systems are a departure from the usual artificial intelligence approach to problem solving. Researchers have traditionally tried to develop general modes of human intelligence that could be applied to many different situations. Expert systems, on the other hand, tend to rely on large quantities of domain specific knowledge, much of it heuristic. The reasoning component of the system is relatively simple and straightforward. For this reason, expert systems are often called knowledge based systems. The report expands on the foregoing. Section 1 discusses the architecture of a typical expert system. Section 2 deals with the characteristics that make a problem a suitable candidate for expert system solution. Section 3 surveys current technology, describing some of the software aids available for expert system development. Section 4 discusses the limitations of the latter. The concluding section makes predictions of future trends.
Cited by 28Open access