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Selecting judgment aggregation rules for NAO robots: an experimental approach
Garcia Becerro, Frederic; Sousa, Sergio; Slavkovik, Marija et al.
2012In Selecting judgment aggregation rules for NAO robots: an experimental approach
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Keywords :
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.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-543
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)
External co-authors :
yes
Language :
English
Title :
Selecting judgment aggregation rules for NAO robots: an experimental approach
Publication date :
2012
Event name :
AAMAS
Event place :
Valencia, Spain
Event date :
2012
Audience :
International
Main work title :
Selecting judgment aggregation rules for NAO robots: an experimental approach
ISBN/EAN :
978-0-9817381-3-0
Pages :
1403-1404
Peer reviewed :
Peer reviewed
Commentary :
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012)
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