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Causal model-based knowledge acquisition tools: Discussion of experiments

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Current Developments in Knowledge Acquisition — EKAW '92 (EKAW 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 599))

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Abstract

The aim of this paper is to study causal knowledge and demonstrate how it can be used to support the knowledge acquisition process. The discussion is based on three experiments we have been involved in. First, two classes of Causal Model-Based Knowledge Acquisition Tools are identified: bottom-up designed causal models and top-down designed causal models. The properties of each type of tool and how they contribute to the whole knowledge acquisition process is then discuted.

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Author information

Authors and Affiliations

  1. DIAM, INSERM U194 & Service d'Informatique Médicale de l'AP-HP, 91, Bd de l'Hôpital, 75634, Paris Cedex 13, France

    Jean Charlet

  2. E.D.F. Direction des Etudes et Recherches, 1, Av. du Général de Gaulle, 92141, Clamart Cedex, France

    Jean-Paul Krivine

  3. Laboratoire de Recherche en Informatique, Bât. 490, Université Paris-Sud, 91405, Orsay Cedex, France

    Chantal Reynaud

Authors
  1. Jean Charlet
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  2. Jean-Paul Krivine
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  3. Chantal Reynaud
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Editor information

Thomas Wetter Klaus-Dieter Althoff John Boose Brian R. Gaines Marc Linster Franz Schmalhofer

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© 1992 Springer-Verlag Berlin Heidelberg

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Charlet, J., Krivine, JP., Reynaud, C. (1992). Causal model-based knowledge acquisition tools: Discussion of experiments. In: Wetter, T., Althoff, KD., Boose, J., Gaines, B.R., Linster, M., Schmalhofer, F. (eds) Current Developments in Knowledge Acquisition — EKAW '92. EKAW 1992. Lecture Notes in Computer Science, vol 599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55546-3_48

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  • DOI: https://doi.org/10.1007/3-540-55546-3_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55546-9

  • Online ISBN: 978-3-540-47203-2

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