Analyzing, Representing and Interpreting Expert Strategic Knowledge

  • L. Johnson
  • E. T. Keravnou

Abstract

We discuss how the strategic knowledge of an expert can be conceptually analysed, and how this analysis can be represented and interpreted in the context of an expert system.

Keywords

Domain Concept Competence Model Explanation Tree Task Interpreter Expert Consultant System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Aikins, J.S., ‘Prototypical knowledge for expert systems’, Artificial Intelligence, 20, 1983, 163–210.CrossRefGoogle Scholar
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    Chandrasekaran, B. & Mittal, S., ‘Conceptual representation of medical knowledge for diagnosis by computer: MDX and related systems’. Advances in Computers, 22, 1983, 217–293.CrossRefGoogle Scholar
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    Clancey, W.J., ‘Acquiring, representing and evaluating a competence model of diagnostic strategy’, in Chi, Glaser and Farr (eds.) The Nature of Expertise, 1985.Google Scholar
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    Johnson, L., ‘The need for competence models in the design of expert consultant systems’, Int. J. Systems Research and Information Science, 1, 1985, 23–36.Google Scholar
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    Keravnou, E.T., Building expert systems that model competence: a case study in fault diagnosis, Ph.D Thesis, Centre for Information Technology, Brunei University, UK.Google Scholar
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    Keravnou, E.T. & Johnson, L., ‘Design of expert systems from the perspective of conversation theory methodology’, in Trappl, R. (ed.) Cybernetics and Systems Research, 2, 1984, 651–654.Google Scholar

Copyright information

© D. Reidel Publishing Company 1986

Authors and Affiliations

  • L. Johnson
    • 1
  • E. T. Keravnou
    • 1
  1. 1.Centre for Information Technology BrunelBrunel, The University of West LondonUxbridge MiddlesexUK

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