Judgment aggregation rules based on minimization (bibtex)
by J. Lang, G. Pigozzi, M. Slavkovik, L. van der Torre
Abstract:
Many voting rules are based on some minimization principle. Likewise, in the field of logic-based knowledge representation and reasoning, many belief change or inconsistency handling operators also make use of minimization. Surprisingly, minimization has not played a major role in the field of judgment aggregation, in spite of its proximity to voting theory and logic-based knowledge representation and reasoning. Here we make a step in this direction and study six judgment aggregation rules; two of them, based on distances, have been previously defined; the other four are new, and all inspired both by voting theory and knowledge representation and reasoning. We study the inclusion relationships between these rules and address some of their social choice theoretic properties.
Reference:
Judgment aggregation rules based on minimization (J. Lang, G. Pigozzi, M. Slavkovik, L. van der Torre), In Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge, ACM, 2011.
Bibtex Entry:
@InProceedings{Lang2011,
  Title                    = {Judgment aggregation rules based on minimization},
  Author                   = {Lang, J. and Pigozzi, G. and Slavkovik, M. and van der Torre, L.},
  Booktitle                = {Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge},
  Year                     = {2011},

  Address                  = {New York, NY, USA},
  Pages                    = {238--246},
  Publisher                = {ACM},
  Series                   = {TARK XIII},

  Abstract                 = {Many voting rules are based on some minimization principle. Likewise, in the field of logic-based knowledge representation and reasoning, many belief change or inconsistency handling operators also make use of minimization. Surprisingly, minimization has not played a major role in the field of judgment aggregation, in spite of its proximity to voting theory and logic-based knowledge representation and reasoning. Here we make a step in this direction and study six judgment aggregation rules; two of them, based on distances, have been previously defined; the other four are new, and all inspired both by voting theory and knowledge representation and reasoning. We study the inclusion relationships between these rules and address some of their social choice theoretic properties.},
  Acmid                    = {2000407},
  Bdsk-url-1               = {http://dl.acm.org/authorize?445477},
  ISBN                     = {978-1-4503-0707-9},
  Keywords                 = {aggregation rules, distance-based merging, judgment aggregation, voting theory},
  Location                 = {Groningen, Netherlands},
  Numpages                 = {9},
  Timestamp                = {2013.07.26},
  Url                      = {http://dl.acm.org/authorize?445477}
}
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