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An Overview of Knowledge Acquisition

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Second Generation Expert Systems

Abstract

The process of knowledge acquisition is central in the development of intelligent computer programs. In the second generation of expert systems, the elicitation, modeling, and representation of human problem-solving knowledge remain principal barriers that development teams must overcome. This overview surveys some of the major barriers to the construction of expertsystem knowledge bases and reviews current and emerging knowledge-acquisition methods. The common thread that runs through research on knowledge acquisition is the creation of models of problem-solving behavior and the use of those models to guide further knowledge elicitation and model formulation.

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Author information

Authors and Affiliations

  1. Knowledge Systems Laboratory Departments of Medicine and Computer Science, Stanford University, Stanford, CA, 93205-5479, USA

    Mark A. Musen

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  1. Mark A. Musen
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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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Musen, M.A. (1993). An Overview of Knowledge Acquisition. 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_18

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  • DOI: https://doi.org/10.1007/978-3-642-77927-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77929-9

  • Online ISBN: 978-3-642-77927-5

  • eBook Packages: Springer Book Archive

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