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Hiring a Secretary from a Poset

机译:从职位集聘请秘书

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摘要

The secretary problem lies at the core of mechanism design for online auctions. In this work we study the generalization of the classical secretary problem in a setting where there is only a partial order between the elements and the goal of the algorithm is to return one of the maximal elements of the poset. This is equivalent to the auction setting where the seller has a multidimensional objective function with only a partial order among the outcomes. We obtain an algorithm that succeeds with probability at least k~(-k/(k-1))((1+log k~(1/(k-1))~k-1), where k is the number of maximal elements in the poset and is the only information about the poset that is known to the algorithm; the success probability approaches the classical bound of 1/e as k → 1. On the other hand, we prove an almost matching upper bound of k~(-1/(k-1)) on the success probability of any algorithm for this problem; this upper bound holds even if the algorithm knows the complete structure of the poset.
机译:秘书问题是在线拍卖机制设计的核心。在这项工作中,我们研究了在元素之间只有部分顺序且该算法的目标是返回位姿的最大元素之一的情况下经典秘书问题的推广。这等效于拍卖设置,在拍卖设置中,卖方具有多维目标函数,结果中只有部分顺序。我们获得的算法以至少k〜(-k /(k-1))((1 + log k〜(1 /(k-1))〜k-1)的概率成功,其中k是姿态图中的最大元素,并且是算法已知的有关姿态的唯一信息;成功概率接近1 / e的经典界限,即k→1。另一方面,我们证明了k的几乎匹配的上限〜(-1 /(k-1))表示解决此问题的任何算法的成功概率;即使算法知道位姿的完整结构,该上限仍然成立。

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