Reference : A complete conclusion-based procedure for judgment aggregation

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/24958

Title :	A complete conclusion-based procedure for judgment aggregation
Language :	English
Author, co-author :	Pigozzi, Gabriella [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Slavkovik, Marija [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	van der Torre, Leon [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2009
Main document title :	Proceedings of the First International Conference on Algorithmic Decision Theory (ADT)
Publisher :	Springer Verlag
Collection and collection volume :	Lecture Notes in Artificial Intelligence 5783
Pages :	1–13
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-642-04428-1
Event name :	Proceedings of the First International Conference on Algorithmic Decision Theory (ADT)
Event date :	10 2009
Keywords :	[en] Conclusion-Based Procedure ; Judgment Aggregation
Abstract :	[en] 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 provides 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.
Target :	Researchers ; Professionals ; Students ; Others
Permalink :	http://hdl.handle.net/10993/24958
DOI :	10.1007/978-3-642-04428-1_1
Other URL :	http://link.springer.com/chapter/10.1007%2F978-3-642-04428-1_1
Commentary :	5783

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