TY - GEN

T1 - Evaluation of election outcomes under uncertainty

AU - Hazon, Noam

AU - Aumann, Yonatan

AU - Kraus, Sarit

AU - Wooldridge, Michael

PY - 2008

Y1 - 2008

N2 - We investigate the extent to which it is possible to evaluate the probability of a particular candidate winning an election, given imperfect information about the preferences of the electorate. We assume that for each voter, we have a probability distribution over a set of preference orderings. Thus, for each voter, we have a number of possible preference orderings-we do not know which of these orderings actually represents the voters' preferences, but we know for each one the probability that it does. We give a polynomial algorithm to solve the problem of computing the probability that a given candidate will win when the number of candidates is a constant. However, when the number of candidates is not bounded, we prove that the problem becomes #P-Hard for the Plurality, Borda, and Copeland voting protocols. We further show that even evaluating if a candidate has any chance to win is NP-Complete for the Plurality voting protocol, in the weighted voters case. We give a polynomial algorithm for this problem when the voters' weights are equal.

AB - We investigate the extent to which it is possible to evaluate the probability of a particular candidate winning an election, given imperfect information about the preferences of the electorate. We assume that for each voter, we have a probability distribution over a set of preference orderings. Thus, for each voter, we have a number of possible preference orderings-we do not know which of these orderings actually represents the voters' preferences, but we know for each one the probability that it does. We give a polynomial algorithm to solve the problem of computing the probability that a given candidate will win when the number of candidates is a constant. However, when the number of candidates is not bounded, we prove that the problem becomes #P-Hard for the Plurality, Borda, and Copeland voting protocols. We further show that even evaluating if a candidate has any chance to win is NP-Complete for the Plurality voting protocol, in the weighted voters case. We give a polynomial algorithm for this problem when the voters' weights are equal.

KW - Computational social choice

KW - Voting protocols

UR - http://www.scopus.com/inward/record.url?scp=84899977725&partnerID=8YFLogxK

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AN - SCOPUS:84899977725

SN - 9781605604701

T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

SP - 941

EP - 948

BT - 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008

T2 - 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008

Y2 - 12 May 2008 through 16 May 2008

ER -