Complexity of Manipulating Elections with Few Candidates
Vincent Conitzer, Tuomas Sandholm

TL;DR
This paper investigates the computational complexity of manipulating elections with few candidates in multiagent systems, showing that weighted coalitional manipulation is generally hard, while individual manipulation is easier under complete information.
Contribution
It provides new complexity results for manipulation in elections with few candidates, especially highlighting the difficulty of weighted coalitional manipulation across various protocols.
Findings
Weighted coalitional manipulation is intractable for most protocols.
Individual manipulation is easy with complete information.
Randomization can increase the difficulty of manipulation.
Abstract
In multiagent settings where the agents have different preferences, preference aggregation is a central issue. Voting is a general method for preference aggregation, but seminal results have shown that all general voting protocols are manipulable. One could try to avoid manipulation by using voting protocols where determining a beneficial manipulation is hard. Especially among computational agents, it is reasonable to measure this hardness by computational complexity. Some earlier work has been done in this area, but it was assumed that the number of voters and candidates is unbounded. We derive hardness results for practical multiagent settings where the number of candidates is small but the number of voters can be large. We show that with complete information about the others' votes, individual manipulation is easy, and coalitional manipulation is easy with unweighted voters. However,…
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Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications · Complexity and Algorithms in Graphs
