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Approximate Solutions To Max-Min Fair and Proportionally Fair Allocations of Indivisible Goods

机译:最大近期公平和按比例分配不可分割商品的近似解决方案

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Max-min fair allocations and proportionally fair allocations are desirable outcomes in a fair division of indivisible goods. Unfortunately, such allocations do not always exist, not even in very simple settings with few agents. A natural question is to ask about the largest value c for which there is an allocation such that every agent has utility of at least c times her fair share. Our goal is to approximate this value c. For additive utilities, we show that when the number of agents is fixed, one can approximate c by a polynomial-time approximation scheme. We show that the case when utility functions are defined based on scoring vectors (binary, Borda, and lexicographic vectors) is tractable. For 2-additive functions, we show that a bounded constant for max-min fair allocations does not exist, not even when there are only two agents. We explore a class of symmetric submodular functions for which a tight 1/2-max-min fair allocation exists and show how it can be approximated within a factor of 1/4.
机译:最大分配的公平分配和比例公平的分配是不可分割商品的公平部门所需的结果。不幸的是,这种分配并不总是存在,即使在很简单的情况下也没有少量代理。一个自然问题是询问关于哪些价值C,其中每个代理商至少有C次的公平份额。我们的目标是近似这个价值c。对于添加性实用程序,我们表明,当代理的数量是固定时,可以通过多项式时间近似方案近似C。我们展示了基于评分向量(二进制,BORDA和LEXICOGAGE矢量)定义了实用功能的情况是易行的。对于2个添加功能,我们表明最大分配的界限常数不存在,即使只有两个代理商。我们探索了一类对称子模块函数,其中存在紧张的1/2-max-min的公平分配,并显示它在1/4的因子中如何近似。

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