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Criteria for Choosing Representation Languages and Control Regimes for Expert Systems

Published online by Cambridge University Press:  07 July 2009

Han Reichgelt and
Frank van Harmelen
Han Reichgelt
Affiliation:
Department of Artificial Intelligence, University of Edinburgh, Scotland
Frank van Harmelen
Affiliation:
Department of Artificial Intelligence, University of Edinburgh, Scotland
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Abstract

Shells and high-level programming language environments suffer from a number of shortcomings as knowledge engineering tools. We conclude that a variety of knowledge representation formalisms and a variety of controls regimes are needed. In addition guidelines should be provided about when to choose which knowledge representation formalism and which control regime. The guidelines should be based on properties of the task and the domain of the expert system. In order to arrive at these guidelines we first critically review some of the classifications of expert systems in the literature. We then give our own list of criteria. We test this list applying our criteria to a number of existing expert systems. As a caveat, we have not yet made a systematic attempt at correlating the criteria and different knowledge representations formalisms and control regimes, although we make some preliminary remarks throughout the paper.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 1 , Issue 4 , December 1984, pp. 2 - 17
Copyright
Copyright © Cambridge University Press 1984

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