Manipulation of Hamming-based Approval Voting for Multiple Referenda and Committee Elections

N. Barrot, J. Lang, M. Yokoo

Election type Approval
Culture Impartial Culture
Candidates {3, 4, 5}
Voters {25}
Instances 10000
Parameters None
Notes Under IC each voter approves each candidate with probability 0.5. The authors also use biased model, where they choose p1 and p2 as two randomly selected probabilities. 40\% of the voters approve each candidate with probability p1, 40\% approve each candidate with probability p2, and 20\% approve each candidate with probability 0.5.