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Using generalised directive models in knowledge acquisition

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Current Developments in Knowledge Acquisition — EKAW '92 (EKAW 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 599))

Abstract

In this paper we describe Generalised Directive Models and their instantiation in the ACKnowledge Knowledge Engineering Workbench. We have developed a context sensitive rewrite grammar that allows us to capture a large class of inference layer models. We use the grammar to progressively refine the model of problem solving for an application. It is also used as the basis of the scheduling of KA activities and the selection of KA tools.

The research reported here was carried out in the course of the ACKnowledge project partially founded by the ESPIRIT Programme of the Commission of the European Communities as project number 2567. The Partners in this project are GEC-Marconi, University of Nottingham (both UK), Cap Gemini Innovation (F), Sintef, Computas Expert Systems (both N), Telefonica (ES), and the University of Amsterdam (NL).

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Authors and Affiliations

  1. Social Science Informatics, Department of Psychology, University of Amsterdam, Roeterstraat 15, 1018, WB Amsterdam, The Netherlands

    Gertjan van Heijst, Peter Terpstra & Bob Wielinga

  2. AI Group, Department of Psychology, University Park, NG7 2RD, Nottingham University, Nottingham, UK

    Nigel Shadbolt

Authors
  1. Gertjan van Heijst
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  2. Peter Terpstra
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  3. Bob Wielinga
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  4. Nigel Shadbolt
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Editor information

Thomas Wetter Klaus-Dieter Althoff John Boose Brian R. Gaines Marc Linster Franz Schmalhofer

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© 1992 Springer-Verlag Berlin Heidelberg

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van Heijst, G., Terpstra, P., Wielinga, B., Shadbolt, N. (1992). Using generalised directive models in knowledge acquisition. In: Wetter, T., Althoff, KD., Boose, J., Gaines, B.R., Linster, M., Schmalhofer, F. (eds) Current Developments in Knowledge Acquisition — EKAW '92. EKAW 1992. Lecture Notes in Computer Science, vol 599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55546-3_37

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  • DOI: https://doi.org/10.1007/3-540-55546-3_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55546-9

  • Online ISBN: 978-3-540-47203-2

  • eBook Packages: Springer Book Archive

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