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Criteria for choosing representation languages and control regimes for expert systems.
Faculty Publications
  • Han Reichgelt
  • Frank van Harmelen
SelectedWorks Author Profiles:

Han Reichgelt

Document Type
Publication Date
Date Issued
January 1984
Date Available
July 2014
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.
Citation only. Full-text article is available through licensed access provided by the publisher. Published in The Knowledge Engineering Review, 1, 2-17. doi:10.1017/S026988890000062X.
Cambridge University Press
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Citation Information
Reichgelt, H. & van Harmelen, F. (1984). Criteria for choosing representation languages and control regimes for expert systems. The Knowledge Engineering Review, 1(4), 2-17. doi:10.1017/S026988890000062X.