Knightian self uncertainty in the vcg mechanism for unrestricted combinatorial auctions

A. Chiesa, S. Micali, Z. Zhu
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引用次数: 7

Abstract

We study the social welfare performance of the VCG mechanism in the well-known and challenging model of self uncertainty initially put forward by Frank H. Knight and later formalized by Truman F. Bewley. Namely, the only information that each player i has about his own true valuation consists of a set of distributions, from one of which i's valuation has been drawn. We assume that each player knows his true valuation up to an additive inaccuracy δ, and study the social welfare performance of the VCG mechanism relative to δ > 0. Denoting by MSW the maximum social welfare, we have already shown in [Chiesa, Micali and Zhu 2012] that, even in single-good auctions, no mechanism can guarantee any social welfare greater than MSW / n in dominant strategies or ex-post Nash equilibrium strategies, where n is the number of players. In a separate paper [CMZ14], we have proved that for multi-unit auctions, where it coincides with the Vickrey mechanism, the VCG mechanism performs very well in (Knightian) undominated strategies. Namely, in an n-player m-unit auction, the Vickrey mechanism guarantees a social welfare ≥ - MSW - 2mδ, when each Knightian player chooses an arbitrary undominated strategy to bid in the auction. In this paper we focus on the social welfare performance of the VCG mechanism in unrestricted combinatorial auctions, both in undominated strategies and regret-minimizing strategies. (Indeed, both solution concepts naturally extend to the Knightian setting with player self uncertainty.) Our first theorem proves that, in an n-player m-good combinatorial auction, the VCG mechanism may produce outcomes whose social welfare is ≤ - MSW - ω(2m δ), even when n=2 and each player chooses an undominated strategy. We also geometrically characterize the set of undominated strategies in this setting. Our second theorem shows that the VCG mechanism performs well in regret-minimizing strategies: the guaranteed social welfare is ≥-MSW - 2min{m,n}δ if each player chooses a pure regret-minimizing strategy, and ≥- MSW - O(n2 δ) if mixed strategies are allowed. Finally, we prove a lemma bridging two standard models of rationality: utility maximization and regret minimization. A special case of our lemma implies that, in any game (Knightian or not), every implementation for regret-minimizing players also applies to utility-maximizing players who use regret ONLY to break ties among their undominated strategies. This bridging lemma thus implies that the VCG mechanism continues to perform very well also for the latter players.
无限制组合拍卖vcg机制中的奈特自我不确定性
我们在Frank H. Knight最初提出、后来由Truman F. Bewley形式化的自我不确定性模型中研究VCG机制的社会福利绩效。也就是说,每个玩家i所拥有的关于自己真实价值的唯一信息是由一组分布组成的,从其中一个分布中可以得出i的价值。我们假设每个参与者都知道自己的真实价值到一个加性不准确值δ,并研究相对于δ > 0的VCG机制的社会福利绩效。我们在[Chiesa, Micali和Zhu 2012]中已经表明,即使在单品拍卖中,在优势策略或后纳什均衡策略中,没有任何机制可以保证任何社会福利大于MSW / n,其中n是参与者的数量。在另一篇论文[CMZ14]中,我们证明了对于与Vickrey机制相吻合的多单位拍卖,VCG机制在(knight)非支配策略中表现非常好。即,在n人m单位的拍卖中,当每个骑士玩家选择任意的非主导策略参与拍卖时,维克里机制保证社会福利≥- MSW - 2mδ。本文主要研究了不受限制组合拍卖中VCG机制的社会福利绩效,包括非支配策略和遗憾最小化策略。(事实上,这两种解决方案概念都自然地延伸到了带有玩家自我不确定性的骑士设定中。)我们的第一个定理证明,在n-参与人m-商品组合拍卖中,即使当n=2且每个参与人都选择非支配策略时,VCG机制也可能产生社会福利≤- MSW - ω(2m δ)的结果。在这种情况下,我们还以几何形式描述了一组非劣势策略。我们的第二个定理表明,VCG机制在后悔最小化策略中表现良好:如果每个参与者都选择纯后悔最小化策略,保证的社会福利≥-MSW - 2min{m,n}δ,如果允许混合策略,保证的社会福利≥-MSW - O(n2 δ)。最后,我们证明了一个引理,连接了两个标准的理性模型:效用最大化和遗憾最小化。我们引理的一个特殊情况意味着,在任何游戏中(无论是否为knight游戏),每个最小化遗憾玩家的执行也适用于效用最大化的玩家,他们只使用遗憾来打破他们的非劣势策略之间的联系。因此,这个桥接引理意味着VCG机制对后一种玩家也会继续表现得很好。
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