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Generic Tasks in KEW

  • Problem Solving Models
  • Conference paper
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Knowledge Acquisition for Knowledge-Based Systems (EKAW 1993)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 723))

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Abstract

In this paper we describe an experiment in which we cast Generic Tasks into the mold provided by KEW. The result was advantageous for both GT theory and KEW-GT benefitted by being formalized, and by gaining a computer implementation. KEW benefitted by having its strategy vindicated on a new target theory, and having its software more thoroughly tested. The experiment also exposed a weakness in the KEW meta-methodology, which might have implications beyond its use in KEW.

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Author information

Authors and Affiliations

  1. Swiss Federal Institute of Technology, CH-1015, Lausanne, Switzerland

    Dean Allemang

  2. University of Amsterdam, Roetersstraat 15, 1018, WB Amsterdam

    Gertjan Van Heijst

Authors
  1. Dean Allemang
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  2. Gertjan Van Heijst
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Editor information

N. Aussenac G. Boy B. Gaines M. Linster J. -G. Ganascia Y. Kodratoff

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© 1993 Springer-Verlag Berlin Heidelberg

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Allemang, D., Van Heijst, G. (1993). Generic Tasks in KEW. In: Aussenac, N., Boy, G., Gaines, B., Linster, M., Ganascia, J.G., Kodratoff, Y. (eds) Knowledge Acquisition for Knowledge-Based Systems. EKAW 1993. Lecture Notes in Computer Science, vol 723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57253-8_52

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  • DOI: https://doi.org/10.1007/3-540-57253-8_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57253-4

  • Online ISBN: 978-3-540-47996-3

  • eBook Packages: Springer Book Archive

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