基于集合论信念的机制设计

Jiehua Chen, S. Micali
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引用次数: 13

摘要

在不完全信息的情况下,我们提出了(1)一个非常保守的——实际上是纯粹的集合论的——关于每个玩家对对手的收益类型可能拥有的信念(包括完全错误的信念)的模型,以及(2)一个新的、健壮的解决方案概念,基于对理性的共同信念,能够利用这种保守信念。我们举例说明了我们的新方法对单一商品拍卖的适用性,通过展示,在我们的解决方案概念下,一个正常形式的,简单的,确定性的机制保证——直到一个任意小的,可添加的常数——收入基准总是大于或等于第二高的估值,有时甚至更大。通过对比,我们还证明了在经典解概念下,同一基准甚至不能在任何正因子内逼近。
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Mechanism Design with Set-Theoretic Beliefs
In settings of incomplete information, we put forward (1) a very conservative -- indeed, purely set-theoretic -- model of the beliefs (including totally wrong ones) that each player may have about the payoff types of his opponents, and (2) a new and robust solution concept, based on mutual belief of rationality, capable of leveraging such conservative beliefs. We exemplify the applicability of our new approach for single-good auctions, by showing that, under our solution concept, a normal-form, simple, and deterministic mechanism guarantees -- up to an arbitrarily small, additive constant -- a revenue benchmark that is always greater than or equal to the second-highest valuation, and sometimes much greater. By contrast, we also prove that the same benchmark cannot even be approximated within any positive factor, under classical solution concepts.
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