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Method for knowledge acquisition from multiple experts

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Advances in Artificial Intelligence (SBIA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 991))

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Abstract

In this paper, we present a method for knowledge acquisition from several experts. This method is based on a set of generic models which serve as a template to the knowledge engineer when acquiring knowledge from multiple experts. Experts are described as a society of interacting cognitive agents by instantiating the models. Our work can be viewed as an extension of KADS (Knowledge-based system Analysis and Design Structured methodology) [Schreiber &al. 94] to the multi-expertise.

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Author information

Authors and Affiliations

  1. ACACIA Project, INRIA Sophia Antipolis, BP. 93,06902, Sophia Antipolis Cedex, France

    Sofiane Labidi

  2. Grupo da Ciência da Computação, Universidade Federal do Maranhão, 65080-040, São Luis-MA, Brasil

    Sofiane Labidi & Mohamed Mohsen Gammoudi

  3. Faculté des Sciences de Tunis, Université de Tunis II, Campus universitaire, Belvédère, Tunisie

    Mohamed Mohsen Gammoudi

Authors
  1. Sofiane Labidi
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  2. Mohamed Mohsen Gammoudi
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Editor information

Jacques Wainer Ariadne Carvalho

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© 1995 Springer-Verlag Berlin Heidelberg

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Labidi, S., Gammoudi, M.M. (1995). Method for knowledge acquisition from multiple experts. In: Wainer, J., Carvalho, A. (eds) Advances in Artificial Intelligence. SBIA 1995. Lecture Notes in Computer Science, vol 991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034821

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  • DOI: https://doi.org/10.1007/BFb0034821

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60436-5

  • Online ISBN: 978-3-540-47467-8

  • eBook Packages: Springer Book Archive

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