Selecting judgment aggregation rules for NAO robots: an experimental approach

Garcia Becerro, Frederic; Sousa, Sergio; Slavkovik, Marija; van der Torre, Leon

Reference : Selecting judgment aggregation rules for NAO robots: an experimental approach


	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/10993/24921

Title :	Selecting judgment aggregation rules for NAO robots: an experimental approach
Language :	English
Author, co-author :	Garcia Becerro, Frederic [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Sousa, Sergio [> >]
	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 :	2012
Main document title :	Selecting judgment aggregation rules for NAO robots: an experimental approach
Pages :	1403-1404
Peer reviewed :	Yes
Audience :	International
ISBN :	978-0-9817381-3-0
Event name :	AAMAS
Event date :	2012
Event place (city) :	Valencia
Event country :	Spain
Keywords :	[en] Social choice rules
Abstract :	[en] Social choice rules can be used to reach group decisions in multiagent systems. We consider judgment aggregation, the problem of aggregating answers to binary logically related questions. In general "fairness" is usually considered to be the main concern when selecting a social choice rule, however we believe that in judgment aggregation often a more relevant property is how efficient the rule is in truth tracking, that is, how often does it return the correct answer to the binary questions. Whereas "fairness" can be studied axiomatically, truth tracking efficiency needs to be studied experimentally. We accomplish the experimental analysis by constructing a multi-robot system.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/24921
Other URL :	http://dl.acm.org/citation.cfm?id=2344029
Commentary :	Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012)

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