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User Centered Cognitive Maps

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Advances in Knowledge Discovery and Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 471))

Abstract

Two kinds of influence graphs are commonly used in artificial intelligence to modelize influence networks: bayesian networks [Naïm et al., 2004] and cognitive maps [Tolman, 1948]. Influence graphs provide mechanisms to highlight the influence between concepts. Cognitive maps represent a concept by a text and an influence by an arc to which a value is associated.

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Author information

Authors and Affiliations

  1. LERIA, UFR Sciences, 2 Bd Lavoisier, 49045, Angers Cedex 01, France

    Lionel Chauvin, David Genest, Aymeric Le Dorze & Stéphane Loiseau

Authors
  1. Lionel Chauvin
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  2. David Genest
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  3. Aymeric Le Dorze
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  4. Stéphane Loiseau
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Corresponding author

Correspondence to Lionel Chauvin .

Editor information

Editors and Affiliations

  1. Polytechnic School of Nantes University, LINA (CNRS UMR 6241), rue C. Pauc, Nantes Cedex 3, 44306, France

    Fabrice Guillet

  2. LaBRI, Univ. Bordeaux 1, 351 Cours de la Libération, Talence Cedex, 33405, France

    Bruno Pinaud

  3. , Polytech'Tours, Dpt Informatique, Université François-Rabelais de Tours, 64 avenue Jean Portalis, Tours, 37200, France

    Gilles Venturini

  4. Laboratoire ERIC, Université Lumière Lyon 2, Bât L., avenue Pierre Mendès-France 5, Bron, 69600, France

    Djamel Abdelkader Zighed

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Chauvin, L., Genest, D., Le Dorze, A., Loiseau, S. (2013). User Centered Cognitive Maps. In: Guillet, F., Pinaud, B., Venturini, G., Zighed, D. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 471. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35855-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-35855-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35854-8

  • Online ISBN: 978-3-642-35855-5

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