TY - JOUR
T1 - How to put through your agenda in collective binary decisions
AU - Alon, Noga
AU - Bredereck, Robert
AU - Chen, Jiehua
AU - Kratsch, Stefan
AU - Niedermeier, Rolf
AU - Woeginger, Gerhard J.
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - We consider the following decision-making scenario: a society of voters has to find an agreement on a set of proposals, and every single proposal is to be accepted or rejected. Each voter supports a certain subset of the proposals-the favorite ballot of this voter-and opposes the remaining ones. He accepts a ballot if he supports more than half of the proposals in this ballot. The task is to decide whether there exists a ballot approving a specified number of selected proposals (agenda) such that all voters (or a strict majority of them) accept this ballot. We show that, on the negative side, both problems are NP-complete, and on the positive side, they are fixed-parameter tractable with respect to the total number of proposals or with respect to the total number of voters. We look into further natural parameters and study their influence on the computational complexity of both problems, thereby providing both tractability and intractability results. Furthermore, we provide tight combinatorial bounds on the worst-case size of an accepted ballot in terms of the number of voters.
AB - We consider the following decision-making scenario: a society of voters has to find an agreement on a set of proposals, and every single proposal is to be accepted or rejected. Each voter supports a certain subset of the proposals-the favorite ballot of this voter-and opposes the remaining ones. He accepts a ballot if he supports more than half of the proposals in this ballot. The task is to decide whether there exists a ballot approving a specified number of selected proposals (agenda) such that all voters (or a strict majority of them) accept this ballot. We show that, on the negative side, both problems are NP-complete, and on the positive side, they are fixed-parameter tractable with respect to the total number of proposals or with respect to the total number of voters. We look into further natural parameters and study their influence on the computational complexity of both problems, thereby providing both tractability and intractability results. Furthermore, we provide tight combinatorial bounds on the worst-case size of an accepted ballot in terms of the number of voters.
KW - Approval balloting with majority threshold
KW - Collective binary decision making
KW - Control by proposal bundling
KW - Voting on multiple issues
UR - http://www.scopus.com/inward/record.url?scp=85045362511&partnerID=8YFLogxK
U2 - 10.1145/2837467
DO - 10.1145/2837467
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AN - SCOPUS:85045362511
SN - 2167-8375
VL - 4
JO - ACM Transactions on Economics and Computation
JF - ACM Transactions on Economics and Computation
IS - 1
M1 - 2837467
ER -