Individual Opinions-Based Judgment Aggregation Procedures
Pigozzi, Gabriella; Kaci, Souhila; Benamara, Farah (2010), Individual Opinions-Based Judgment Aggregation Procedures, in Daumas, Marc; Narukawa, Yasuo; Torra, Vicenç, Modeling Decisions for Artificial Intelligence 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. Proceedings, Springer : Berlin, p. 55-66. http://dx.doi.org/10.1007/978-3-642-16292-3_8
Type
Communication / ConférenceDate
2010Conference title
7th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2010Conference date
2010-10Conference city
PerpignanConference country
FranceBook title
Modeling Decisions for Artificial Intelligence 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. ProceedingsBook author
Daumas, Marc; Narukawa, Yasuo; Torra, VicençPublisher
Springer
Series title
Lecture Notes in Computer ScienceSeries number
6408Published in
Berlin
ISBN
978-3-642-16291-6
Number of pages
299Pages
55-66
Publication identifier
Metadata
Show full item recordAbstract (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.Subjects / Keywords
Decision Aid; collective decisions; Judgment aggregation; Individual Opinions; Aggregation ProceduresRelated items
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