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Explicit and operational models as a basis for second generation knowledge acquisition tools

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Second Generation Expert Systems

Abstract

The paper describes the transition from a first generation knowledge acquisition approach towards a second generation, model-based one. Firstly, we depict the first generation knowledge acquisition tool KRITON with its components interview, protocol, and text analysis and we render the underlying assumptions of the tool. Then, we make a point for second generation, model-based knowledge acquisition took and discuss their architecture. We focus on the role of explicit models of problem-solving methods in automated knowledge acquisition tools and on the guidance that models of methods can provide. We give a short description of the KADS-oriented knowledge-modeling language OMOS that we developed, among others, to analyze the facet of guidance. We combine aspects of the KRITON-based development with features of the modeling language OMOS, thus obtaining a second generation view on knowledge engineering, supported by a special architecture for computer supported model-based knowledge acquisition. Finally, we highlight future developments that exploit the guidance of the method models for automated knowledge acquisition.

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Author information

Authors and Affiliations

  1. AI Research Division, GMD, D-5205, St. Augustin 1, Germany

    Marc Linster

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  1. Marc Linster
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Editors and Affiliations

  1. Service Systèmes Experts, Renault, 860 Quai Stalingrad, 92109, Boulogne-Billancourt, France

    Jean-Marc David

  2. Direction des Etudes et Recherches, Electricité de France, 1, Av. du Général de Gaulle, 92141, Clamart Cedex, France

    Jean-Paul Krivine

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213-3890, USA

    Reid Simmons

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© 1993 Springer-Verlag Berlin Heidelberg

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Linster, M. (1993). Explicit and operational models as a basis for second generation knowledge acquisition tools. In: David, JM., Krivine, JP., Simmons, R. (eds) Second Generation Expert Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77927-5_21

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  • DOI: https://doi.org/10.1007/978-3-642-77927-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77929-9

  • Online ISBN: 978-3-642-77927-5

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