Lifting integrity constraints in binary aggregation - Université Toulouse 1 Capitole
Article Dans Une Revue Artificial Intelligence Année : 2013

Lifting integrity constraints in binary aggregation

Résumé

vote Judgment aggregation

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.

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Dates et versions

hal-04680594 , version 1 (14-11-2024)

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Umberto Grandi, Ulle Endriss. Lifting integrity constraints in binary aggregation. Artificial Intelligence, 2013, 199-200, pp.45 - 66. ⟨10.1016/j.artint.2013.05.001⟩. ⟨hal-04680594⟩
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