A Complete Conclusion-Based Procedure for Judgment Aggregation (bibtex)
by Gabriella Pigozzi, Marija Slavkovik, Leendert van der Torre
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 pro- vides 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.
Reference:
A Complete Conclusion-Based Procedure for Judgment Aggregation (Gabriella Pigozzi, Marija Slavkovik, Leendert van der Torre), In Algorithmic Decision Theory, First International Conference, ADT 2009, Venice, Italy, October 20-23, 2009. Proceedings (Francesca Rossi, Alexis Tsoukiàs, eds.), Springer, volume 5783, 2009.
Bibtex Entry:
@InProceedings{Pigozzi2009b,
  Title                    = {A Complete Conclusion-Based Procedure for Judgment Aggregation},
  Author                   = {Gabriella Pigozzi and Marija Slavkovik and Leendert van der Torre},
  Booktitle                = {Algorithmic Decision Theory, First International Conference, ADT 2009, Venice, Italy, October 20-23, 2009. Proceedings},
  Year                     = {2009},
  Editor                   = {Francesca Rossi and Alexis Tsouki{\`a}s},
  Pages                    = {1-13},
  Publisher                = {Springer},
  Series                   = {Lecture Notes in Computer Science},
  Volume                   = {5783},

  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 pro- vides 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.},
  Affiliation              = {icr},
  Bdsk-url-1               = {http://www.springerlink.com/content/ng726986734h5103/},
  Bibsource                = {DBLP, http://dblp.uni-trier.de},
  Date-modified            = {2011-12-21 13:24:42 +0100},
  Ee                       = {http://dx.doi.org/10.1007/978-3-642-04428-1_1},
  ISBN                     = {978-3-642-04427-4},
  Timestamp                = {2013.07.26},
  Url                      = {http://www.springerlink.com/content/ng726986734h5103/}
}
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