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Contextual Categorization and Cognitive Phenomena

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Modeling and Using Context (CONTEXT 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2116))

Abstract

Contextual Categorization theory (CC-T) is introduced as a theory based on Galois lattices that are used to capture the organization of current situations. It is shown how the objects and their properties are processed to simulate cognitive phenomena related to context effects: denotation, description, explanation, similarity judgement, analogy, non-literal language understanding and reasoning.

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Author information

Authors and Affiliations

  1. Laboratoire CNRS-ESA 7021 de Cognition et Activités Mentales Finalises, Université de Paris 8, France

    Charles Tijus

  2. Université de Paris 8, 2, rue de la Liberté, 93526, Saint-Denis Cedex 02, France

    Charles Tijus

Authors
  1. Charles Tijus
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Bilkent University, Bilkent, Ankara, 06533, Turkey

    Varol Akman

  2. Department of Computer and Management Sciences, University of Trento, 38100, Trento, Italy

    Paolo Bouquet

  3. Philosophy Department, University of Michigan, 2251 Angell Hall, Ann Arbor, MI, 48109-1003, USA

    Richmond Thomason

  4. Philosophy Department, University of Dundee, Dundee, DD1 4HN, Scotland, UK

    Roger Young

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© 2001 Springer-Verlag Berlin Heidelberg

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Tijus, C. (2001). Contextual Categorization and Cognitive Phenomena. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_24

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  • DOI: https://doi.org/10.1007/3-540-44607-9_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42379-9

  • Online ISBN: 978-3-540-44607-1

  • eBook Packages: Springer Book Archive

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