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Conference of the Canadian Society for Computational Studies of Intelligence

Canadian AI 1998: Advances in Artificial Intelligence pp 322–333Cite as

A relational modeling of cognitive maps

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1418))

Abstract

Causal reasoning involves many interacting concepts that make them difficult to deal with, and for which analytical techniques are inadequate. A cognitive map can be employed, as a tool for qualitative reasoning, to cope with this type of knowledge. Cognitive maps have been used for decision analysis, administrative sciences, management sciences, distributed AI and distributed group decision support. In this paper, we present a formal model for cognitive maps with a precise semantics based on relation algebra. In this way, we justify the classical intuitive inference mechanisms, based on reasoning from causes to effects.

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Authors and Affiliations

  1. Département d'Informatique, Université Laval, G1K 7P4, Ste-Foy, PQ, Canada

    B. Chaib-draa

Authors
  1. B. Chaib-draa
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Editor information

Robert E. Mercer Eric Neufeld

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© 1998 Springer-Verlag Berlin Heidelberg

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Chaib-draa, B. (1998). A relational modeling of cognitive maps. In: Mercer, R.E., Neufeld, E. (eds) Advances in Artificial Intelligence. Canadian AI 1998. Lecture Notes in Computer Science, vol 1418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64575-6_61

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  • DOI: https://doi.org/10.1007/3-540-64575-6_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64575-7

  • Online ISBN: 978-3-540-69349-9

  • eBook Packages: Springer Book Archive

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