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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2010: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications pp 261–270Cite as

A Categorical Approach to the Extension of Social Choice Functions

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 81))

Abstract

Are we interested in choice functions or function for choice? Was it my choice or did I choose? In the end it is all about sorts and operators, terms as given by the term monad over the appropriate category, and variable substitutions as morphisms in the Kleisli category of that particular term monad.

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Author information

Authors and Affiliations

  1. Department of Computing Science, Umeå University, Sweden

    Patrik Eklund

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

    Mario Fedrizzi

  3. Department of Political Science, University of Turku, Finland

    Hannu Nurmi

Authors
  1. Patrik Eklund
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  2. Mario Fedrizzi
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  3. Hannu Nurmi
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Editor information

Editors and Affiliations

  1. Fachbereich Mathematik und Informatik, Philipps-Universität Marburg, Marburg, Germany

    Eyke Hüllermeier

  2. Department of Knowledge Processing and Language Engineering, Otto-von-Guericke University of Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Rudolf Kruse

  3. Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Dortmund, 44221, Dortmund, (Germany)

    Frank Hoffmann

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Eklund, P., Fedrizzi, M., Nurmi, H. (2010). A Categorical Approach to the Extension of Social Choice Functions. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_26

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  • DOI: https://doi.org/10.1007/978-3-642-14058-7_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14057-0

  • Online ISBN: 978-3-642-14058-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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