Fairness and Incentive Compatibility via Percentage Fees

Shahar Dobzinski, Sigal Oren, J. Vondrák
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Abstract

We study incentive-compatible mechanisms that maximize the Nash Social Welfare. Since traditional incentive-compatible mechanisms cannot maximize the Nash Social Welfare even approximately, we propose changing the traditional model. Inspired by a widely used charging method (e.g., royalties, a lawyer that charges some percentage of possible future compensation), we suggest charging the players some percentage of their value of the outcome. We call this model the percentage fee model. We show that there is a mechanism that maximizes exactly the Nash Social Welfare in every setting with non-negative valuations. Moreover, we prove an analog of Roberts theorem that essentially says that if the valuations are non-negative, then the only implementable social choice functions are those that maximize weighted variants of the Nash Social Welfare. We develop polynomial time incentive compatible approximation algorithms for the Nash Social Welfare with subadditive valuations and prove some hardness results.
公平和激励兼容性通过百分比费用
我们研究了纳什社会福利最大化的激励相容机制。由于传统的激励相容机制不能近似地实现纳什社会福利的最大化,我们提出改变传统的激励相容模型。受到一种广泛使用的收费方法的启发(游戏邦注:如版税,律师收取一定比例的未来报酬),我们建议向玩家收取一定比例的结果价值。我们称这种模式为百分比收费模式。我们证明了存在一种机制,在每一种非负估值的情况下,都能使纳什社会福利最大化。此外,我们证明了罗伯茨定理的一个类比,本质上说,如果估值是非负的,那么唯一可实现的社会选择函数是那些最大化纳什社会福利加权变量的函数。研究了具有次可加值的纳什社会福利的多项式时间激励相容逼近算法,并证明了一些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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