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Acquisition of gradual knowledge

  • Life Cycle and Methodologies
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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

Topoi are gradual inference rules, often used by experts in several problem classes: they can be exploited at various phases of a knowledge-based system life cycle. They can be studied at the two levels distinguished by Newell: the knowledge level and the symbol level. Some knowledge elicitation techniques such as rating grids and some knowledge acquisition methods such as KADS and KOD can be exploited in order to facilitate the acquisition of topoi. At the symbol level, different representations and implementations of topoi can be proposed and topoi can be formalized through several qualitative physics formalisms.

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Authors and Affiliations

  1. INRIA, ACACIA Project, 2004 Route des Lucioles, BP 93, 06902, Sophia-Antipolis Cedex, France

    Rose Dieng, Olivier Corby & Stéphane Lapalut

Authors
  1. Rose Dieng
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  2. Olivier Corby
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  3. Stéphane Lapalut
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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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Dieng, R., Corby, O., Lapalut, S. (1993). Acquisition of gradual knowledge. 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_65

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  • DOI: https://doi.org/10.1007/3-540-57253-8_65

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  • Print ISBN: 978-3-540-57253-4

  • Online ISBN: 978-3-540-47996-3

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