This paper introduces the "almost common knowledge topology" on information structures, demonstrating it as the coarsest topology that ensures the continuity of equilibrium outcomes in games with incomplete information.
The Equilibrium Cycle (EC) is a novel solution concept that captures the oscillatory behavior of dynamic games, particularly in scenarios where traditional Nash Equilibria fail to adequately describe the long-term outcomes.
In strategic interactions where the sender doesn't benefit from full disclosure, voluntary disclosure can achieve virtually the same payoffs as information design, suggesting an equivalence between the two.
Under certain conditions, achieving efficient coordination in dynamic games with strategic complementarities is possible regardless of whether decisions are made synchronously or asynchronously.
In strategic communication, where senders have incentives to manipulate information, skeptical receivers who are aware of these incentives limit the sender's persuasive power, but surprisingly, this skepticism may not always be in the receiver's best interest.
In games with many players, individuals can achieve near-optimal outcomes by adopting "obvious strategies" – those aligned with the equilibrium of an idealized, simplified version of the game, even without explicit coordination.
유한한 행동과 상태를 가진 커뮤니케이션 게임에서 발신자에게 약속이 가치 있는 경우는 발신자가 무작위 전략을 선호하는 경우뿐이며, 이는 베이지안 설득 문제에서 부분적 실험이 아닌 무작위 실험이 최적일 때 발생한다.
In housing markets where agents have lexicographic preferences, prioritizing either the house they receive or the recipient of their endowment, the Top Trading Cycles (TTC) rule is the only mechanism that guarantees individual rationality, pair efficiency, and strategy-proofness.
유한한 의사결정 상황에서 할당량 메커니즘은 정보 비대칭 문제를 해결하는 데 효과적이며, 특히 의사결정 오류에 대한 명확한 한계를 제시하고, 다른 메커니즘에 비해 강건성을 지니고 있음을 보여줍니다.
メカニズムデザインにおいて、従来のマキシミンアプローチは、曖昧性集合内の最悪ケースの期待ペイオフを保証するメカニズムを最適としていましたが、本稿では、曖昧性集合外の近傍にある事前分布に対してもペイオフ保証が大きく変動しない「ロバストなロバスト性」の概念を提唱しています。