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Use of Models in the Interpretation of Verbal Data

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Book cover Knowledge Acquisition for Expert Systems

Abstract

The experience of building expert systems for a decade has revealed a number of problems and bottlenecks at each stage of the life cycle. Although the evidence is not abundant, because the number of fully operational expert systems is small with respect to the number of systems that have been developed, it appears that ad hoc or post hoc solutions for problems in early stages can create new and even bigger problems at later stages (McDermott, 1983, 1984): Problems propagate. The fact that few systems ever reach operational maturity is probably indicative of the fact that the art of knowledge engineering is not well established yet. The major problems are listed in the reverse order of their life cycle stages, because problems at later stages are more easily identified.

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Author information

Authors and Affiliations

  1. Department of Social Science Informatics, University of Amsterdam, 1016 BS, Amsterdam, The Netherlands

    Joost Breuker & Bob Wielinga

Authors
  1. Joost Breuker
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  2. Bob Wielinga
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Editor information

Editors and Affiliations

  1. Hewlett Packard Laboratories, Stoke Gifford, Bristol, BS12 6QZ, England

    Alison L. Kidd

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© 1987 Plenum Press, New York

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Breuker, J., Wielinga, B. (1987). Use of Models in the Interpretation of Verbal Data. In: Kidd, A.L. (eds) Knowledge Acquisition for Expert Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1823-1_2

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  • DOI: https://doi.org/10.1007/978-1-4613-1823-1_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9019-3

  • Online ISBN: 978-1-4613-1823-1

  • eBook Packages: Springer Book Archive

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