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On the Efficiency of the Proportional Allocation Mechanism for Divisible Resources

机译:论可分割资源按比例分配机制的效率

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We study the efficiency of the proportional allocation mechanism, that is widely used to allocate divisible resources. Each agent submits a bid for each divisible resource and receives a fraction proportional to her bids. We quantify the inefficiency of Nash equilibria by studying the Price of Anarchy (PoA) of the induced game under complete and incomplete information. When agents' valuations axe concave, we show that the Bayesian Nash equilibria can be arbitrarily inefficient, in contrast to the well-known 4/3 bound for pure equilibria. Next, we upper bound the PoA over Bayesian equilibria by 2 when agents' valuations are subadditive, generalizing and strengthening previous bounds on lattice submodular valuations. Furthermore, we show that this bound is tight and cannot be improved by any simple mechanism. Then we switch to settings with budget constraints, and we show an improved upper bound on the PoA over coarse-correlated equilibria. Finally, we prove that the PoA is exactly 2 for pure equilibria in the polyhedral environment.
机译:我们研究了比例分配机制的效率,该机制广泛用于分配可分割的资源。每个代理为每个可分割资源提交一个出价,并收到与其出价成正比的分数。我们通过研究在完全信息和不完全信息下的诱导博弈的无政府定价(PoA)来量化纳什均衡的无效性。当代理商的估值缩水时,我们证明贝叶斯纳什均衡可能是任意低效率的,这与众所周知的纯均衡的4/3界相反。接下来,当代理商的估值为次可加性时,我们将贝叶斯均衡的PoA上限上限为2,从而推广并加强了晶格亚模估值的先前边界。此外,我们表明此界限是紧密的,无法通过任何简单的机制来改善。然后,我们切换到具有预算约束的设置,并且在粗略相关的平衡上,我们在PoA上显示了更高的上限。最后,我们证明了多面体环境中纯平衡的PoA正好为2。

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