@inproceedings{c64b3c455dcf403a9f2b01e31c9c0438,
title = "On the robustness of preference aggregation in noisy environments",
abstract = "In an election held in a noisy environment, agents may unintentionally perturb the outcome by communicating faulty preferences. We investigate this setting by introducing a theoretical model of noisy preference aggregation and formally defining the (worst-case) robustness of a voting rule. We use our model to analytically bound the robustness of various prominent rules. The results show that the robustness of voting rules is diverse, with different rules positioned at either end of the spectrum. These results allow selection of voting rules that support preference aggregation in the face of noise.",
keywords = "Computational complexity, Voting",
author = "Procaccia, {Ariel D.} and Rosenschein, {Jeffrey S.} and Kaminka, {Gal A.}",
year = "2007",
doi = "10.1145/1329125.1329205",
language = "American English",
isbn = "9788190426275",
series = "Proceedings of the International Conference on Autonomous Agents",
pages = "428--434",
booktitle = "AAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems",
note = "6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07 ; Conference date: 14-05-2008 Through 18-05-2008",
}