Voting theory provides useful insights for multiagent preference aggregation. However, the standard setting assumes totally ordered preferences, as well as a ballot language that coincides with the preference language. In typical AI scenarios, these assumptions do not hold: certain alternatives may be incomparable for some agents, and others may have their preferences encoded in a format that is different from how preference aggregation mechanism wants them. We study the consequences of dropping these assumptions. In particular, we investigate the consequences for the important notion of strategy-proofness. While strategy-proofness cannot be guaranteed in the classical setting, we are able to show that there are situations in our more general framework where this is possible. We also consider computational aspects of the problem.

Preference Aggregation over Restricted Ballot Languages: Sincerity and Strategy-Proofness

PINI, MARIA SILVIA;ROSSI, FRANCESCA;VENABLE, KRISTEN BRENT
2009

Abstract

Voting theory provides useful insights for multiagent preference aggregation. However, the standard setting assumes totally ordered preferences, as well as a ballot language that coincides with the preference language. In typical AI scenarios, these assumptions do not hold: certain alternatives may be incomparable for some agents, and others may have their preferences encoded in a format that is different from how preference aggregation mechanism wants them. We study the consequences of dropping these assumptions. In particular, we investigate the consequences for the important notion of strategy-proofness. While strategy-proofness cannot be guaranteed in the classical setting, we are able to show that there are situations in our more general framework where this is possible. We also consider computational aspects of the problem.
2009
Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009)
9781577354260
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2439481
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