New Study Reveals Virtual Bayesian Implementation Key for Fair Social Choices
Virtual Bayesian implementation in social choice functions is achievable by satisfying incentive compatibility and virtual monotonicity, a weaker condition than Bayesian monotonicity. Virtual monotonicity is typically met in environments with at least three alternatives, making virtual Bayesian implementation successful in most cases with only incentive compatibility required.