Informed Decision-Making via Voting

I study voting games where agents' preferences depend on a nondirectly observable state variable. The decisions to be made are affected by the preferences, the noisy information on the state variable, and the (coalitional) strategic behaviors of the agents. My research demonstrates that strategic agents reach "good" decisions in majority voting. Under the majority rule, we show the equivalence between equilibria in the vote and behaviors that get the decision preferred by the majority as if the state variable is known to all. Furthermore, if a round of polling votes is conducted before the majority vote, the same "good" decision can be reached under a natural "informative + sincere" equilibrium. Future directions include a more generalized preference model, extending the results to more than two candidates, and studying more applications. CCS CONCEPTS • Theory of computation → Algorithmic game theory.