Informational Puts
Koh, Andrew, Sanguanmoo, Sivakorn, Uzui, Kei
–arXiv.org Artificial Intelligence
We analyze how dynamic information should be provided to uniquely implement the largest equilibrium in binary-action coordination games. The designer offers an informational put: she stays silent if players choose her preferred action, but injects asymmetric and inconclusive public information if they lose faith. There is (i) no multiplicity gap: the largest (partially) implementable equilibrium can be implemented uniquely; and (ii) no commitment gap: the policy is sequentially optimal. Our results have sharp implications for the design of policy in coordination environments.
arXiv.org Artificial Intelligence
Dec-29-2024
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