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Lifting integrity constraints in binary aggregation

delete2013-06-01
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OA
AI
U
Umberto Grandi *
U
Ulle Endriss
DOI:10.1016/j.artint.2013.05.001delete
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Abstract

Abstract

En 中文
We consider problems in which several individuals each need to make a yes/no choice regarding a number of issues and these choices then need to be aggregated into a collective choice. Depending on the application at hand, different combinations of yes/no may be considered rational. We describe rationality assumptions as integrity constraints using a simple propositional language and we explore the question of whether or not a given aggregation procedure will lift a given integrity constraint from the individual to the collective level, i.e., whether the collective choice will be rational whenever all individual choices are. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Collective decision making
Computational social choice
Multi-issue domains
Combinatorial vote
Judgment aggregation
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Journal

Artificial Intelligence Review cover
Artificial Intelligence Review
IF:
13.9
Papers:
6.1K
Citations:
1.9W

Organization

U
university of amsterdam
Scholars:
6.0W
Papers: 5.1W
Citations: 94
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