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Modeling and extending expertise

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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))

Abstract

This paper surveys the state-of-the-art in knowledge acquisition for knowledge-based systems. It gives an overview of three major areas of advance in recent years: in conceptual and theoretical terms, the characterization of knowledge acquisition as a process of modeling expertise with a view to emulating and extending it; in methodological terms, the provision of detailed formal modeling methodologies supporting such processes; and, in technological terms, the development of computer-based tools for knowledge acquisition supporting such modeling methodologies. The paper also presents the state-of-the-art in the context of its relation to other fields of activity such as developments in software engineering, system-theoretic aspects of modeling in general, and the variety of technologies that have been applied in knowledge acquisition such as those of hypermedia and machine learning.

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Authors and Affiliations

  1. Knowledge Science Institute, University of Calgary, T2N 1N4, Calgary, Alberta, Canada

    Brian R. Gaines

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  1. Brian R. Gaines
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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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Gaines, B.R. (1993). Modeling and extending expertise. 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_45

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  • DOI: https://doi.org/10.1007/3-540-57253-8_45

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  • Print ISBN: 978-3-540-57253-4

  • Online ISBN: 978-3-540-47996-3

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