The Semi-Random Satisfaction of Voting Axioms
–Neural Information Processing Systems
We initiate the work towards a comprehensive picture of the worst average-case satisfaction of voting axioms in semi-random models, to provide a finer and more realistic foundation for comparing voting rules. We adopt the semi-random model and formulation in [54], where an adversary chooses arbitrarily correlated "ground truth" preferences for the agents, on top of which random noises are added. We focus on characterizing the semi-random satisfaction of two well-studied voting axioms: Condorcet criterion and participation.
Neural Information Processing Systems
May-20-2025, 21:49:12 GMT
- Country:
- North America > United States > Oregon (0.14)
- Industry:
- Government > Voting & Elections (0.70)
- Technology: