2014
DOI: 10.1007/978-3-319-13129-0_1
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Cake Cutting Algorithms for Piecewise Constant and Piecewise Uniform Valuations

Abstract: Abstract. Cake cutting is one of the most fundamental settings in fair division and mechanism design without money. In this paper, we consider different levels of three fundamental goals in cake cutting: fairness, Pareto optimality, and strategyproofness. In particular, we present robust versions of envy-freeness and proportionality that are not only stronger than their standard counter-parts but also have less information requirements. We then focus on cake cutting with piecewise constant valuations and prese… Show more

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Cited by 47 publications
(58 citation statements)
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“…A mechanism is non-wasteful if it never allocates a piece to someone who does not value it; a mechanism is position oblivious if it decides the allocation of an arbitrary portion of the cake only based on the agents' valuations on this portion, but not on its relative position in the cake. These results partially answer the open question raised in [Chen et al, 2010]. We also compare our results to the impossibility results in [Aziz and Ye, 2014] and [Brânzei and Miltersen, 2015].…”
Section: Our Resultssupporting
confidence: 86%
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“…A mechanism is non-wasteful if it never allocates a piece to someone who does not value it; a mechanism is position oblivious if it decides the allocation of an arbitrary portion of the cake only based on the agents' valuations on this portion, but not on its relative position in the cake. These results partially answer the open question raised in [Chen et al, 2010]. We also compare our results to the impossibility results in [Aziz and Ye, 2014] and [Brânzei and Miltersen, 2015].…”
Section: Our Resultssupporting
confidence: 86%
“…Note that this is one of the most natural valuation function classes that has received much attention in the cakecutting study [Bei et al, 2012;Kurokawa et al, 2013;Aziz and Ye, 2014]. Specifically, piecewise constant functions enjoy two nice properties: (i) they are concisely representable, and (ii) they can approximate any functions to an arbitrary precision.…”
Section: Our Resultsmentioning
confidence: 99%
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