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
TypeCommunication / Conférence
Conference title7th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2010
Book titleModeling Decisions for Artificial Intelligence 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. Proceedings
Book authorDaumas, Marc; Narukawa, Yasuo; Torra, Vicenç
Series titleLecture Notes in Computer Science
Number of pages299
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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.
Subjects / KeywordsDecision Aid; collective decisions; Judgment aggregation; Individual Opinions; Aggregation Procedures
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