Which Is the Fairest (Rent Division) of Them All?

Y. Gal, Moshe Mash, A. Procaccia, Yair Zick
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引用次数: 19

Abstract

“Mirror, mirror, on the wall, who is the fairest of them all?” The Evil Queen What is a fair way to assign rooms to several housemates and divide the rent between them? This is not just a theoretical question: many people have used the Spliddit website to obtain envy-free solutions to rent division instances. But envy freeness, in and of itself, is insufficient to guarantee outcomes that people view as intuitive and acceptable. We therefore focus on solutions that optimize a criterion of social justice, subject to the envy-freeness constraint, in order to pinpoint the “fairest” solutions. We develop a general algorithmic framework that enables the computation of such solutions in polynomial time. We then study the relations between natural optimization objectives and identify the maximin solution, which maximizes the minimum utility subject to envy freeness, as the most attractive. We demonstrate, in theory and using experiments on real data from Spliddit, that the maximin solution gives rise to significant gains in terms of our optimization objectives. Finally, a user study with Spliddit users as subjects demonstrates that people find the maximin solution to be significantly fairer than arbitrary envy-free solutions; this user study is unprecedented in that it asks people about their real-world rent division instances. Based on these results, the maximin solution has been deployed on Spliddit since April 2015.
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哪一个是最公平的(租金分配)?
“魔镜,魔镜,墙上的魔镜,谁是世界上最美丽的人?”如何公平地将房间分配给几个室友,并在他们之间分摊租金?这不仅仅是一个理论问题:许多人使用Spliddit网站来获得租用除法实例的免嫉妒解决方案。但嫉妒自由,就其本身而言,不足以保证人们认为直观和可接受的结果。因此,我们将重点放在优化社会正义标准的解决方案上,在不受嫉妒约束的情况下,以确定“最公平”的解决方案。我们开发了一个通用的算法框架,使这种解决方案的计算在多项式时间。然后,我们研究了自然优化目标之间的关系,并确定了最具吸引力的最大解,该解在嫉妒自由的情况下使最小效用最大化。我们在理论上和使用Spliddit真实数据的实验中证明,就我们的优化目标而言,最大化解决方案带来了显著的收益。最后,一项以splidreddit用户为研究对象的用户研究表明,人们发现最大化解决方案比任意的无嫉妒解决方案要公平得多;这项用户研究是前所未有的,因为它询问了人们在现实世界中的租金分配情况。基于这些结果,自2015年4月以来,该maximin解决方案已在Spliddit上部署。
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