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Individual Opinions-Based Judgment Aggregation Procedures
Benamara, Farah; Kaci, Souhila; Pigozzi, Gabriella
2010In Modeling Decisions for Artificial Intelligence
 

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Abstract :
[en] Judgment aggregation is a recent formal discipline that studies how to aggregate individual judgments on logically connected propositions to form collective decisions on the same propositions. Despite the apparent simplicity of the problem, the aggregation of individual judgments can result in an inconsistent outcome. This seriously troubles this research field. Expert panels, legal courts, boards, and councils are only some examples of group decision situations that confront themselves with such aggregation problems. So far, the existing framework and procedures considered in the literature are idealized. Our goal is to enrich standard judgment aggregation by allowing the individuals to agree or disagree on the decision rule. Moreover, the group members have the possibility to abstain or express neutral judgments. This provides a more realistic framework and, at the same time, consents the definition of an aggregation procedure that escapes the inconsistent group outcome.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2011-094
Author, co-author :
Benamara, Farah
Kaci, Souhila
Pigozzi, Gabriella ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
Individual Opinions-Based Judgment Aggregation Procedures
Publication date :
2010
Event name :
7th International Conference, MDAI 2010
Event place :
Perpignan, France
Event date :
October 27-29, 2010
Main work title :
Modeling Decisions for Artificial Intelligence
Publisher :
Springer, Berlin, Germany
ISBN/EAN :
978-3-642-16291-6
Collection name :
Lecture Notes in Computer Science, 6408
Pages :
55–66
Available on ORBilu :
since 19 March 2014

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