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A Complete Conclusion-Based Procedure for Judgment Aggregation

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Algorithmic Decision Theory (ADT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5783))

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Abstract

Judgment aggregation is a formal theory reasoning about how a group of agents can aggregate individual judgments on connected propositions into a collective judgment on the same propositions. Three procedures for successfully aggregating judgments sets are: premise-based procedure, conclusion-based procedure and distance-based merging. The conclusion-based procedure has been little investigated because it provides a way to aggregate the conclusions, but not the premises, thus it outputs an incomplete judgment set. The goal of this paper is to present a conclusion-based procedure outputting complete judgment sets.

A previous version of this paper appeared in the proceedings of the workshop Cinquième Journée Francophone Modèles Formels de l’Interaction, Lannion, France, 2-5 June 2009.

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Authors and Affiliations

  1. Individual and Collective Reasoning, Computer Science and Communication, University of Luxembourg, 6, Rue Richard Coudenhove Kalergi, L-1359, Luxembourg

    Gabriella Pigozzi, Marija Slavkovik & Leendert van der Torre

Authors
  1. Gabriella Pigozzi
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  2. Marija Slavkovik
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  3. Leendert van der Torre
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Editor information

Editors and Affiliations

  1. Department of Pure and Applied Mathematics, University of Padova, Via Trieste 63, 35121, Padova, Italy

    Francesca Rossi

  2. LAMSADE-CNRS, University of Paris Dauphine, Place du Maréchal De Lattre de Tassigny, 75775, Paris Cedex 16, France

    Alexis Tsoukias

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Pigozzi, G., Slavkovik, M., van der Torre, L. (2009). A Complete Conclusion-Based Procedure for Judgment Aggregation. In: Rossi, F., Tsoukias, A. (eds) Algorithmic Decision Theory. ADT 2009. Lecture Notes in Computer Science(), vol 5783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04428-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-04428-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04427-4

  • Online ISBN: 978-3-642-04428-1

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