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Issues in Knowledge Level Modelling

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Second Generation Expert Systems

Abstract

Since its introduction in the early 80s the notion of knowledge level has been an important catalizer of research in knowledge systems. This chapter discusses how it is being turned into a useful tool for the development of knowledge systems and how the original and present interpretations can be tied together again. It shows how the knowledge level changed our views on what knowledge systems are and how the problems with first generation expert systems might be overcome. Two other issues are discussed in some more detail. The first one is the precise methodological role of the knowledge level. The second issue concerns the nature of knowledge level theories of problem solving and its implications for next generation architectures.

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Author information

Authors and Affiliations

  1. AI-Lab, Vrije Universiteit Brussel, Pleinlaan 2, B-1050, Brussels, Belgium

    Walter Van de Velde

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  1. Walter Van de Velde
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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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Van de Velde, W. (1993). Issues in Knowledge Level Modelling. 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_11

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  • DOI: https://doi.org/10.1007/978-3-642-77927-5_11

  • 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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