Cake Cutting Algorithms for Piecewise Constant and Piecewise Uniform Valuations

被引:0
|
作者
Aziz, Haris [1 ,2 ]
Ye, Chun [3 ]
机构
[1] NICTA, Sydney, NSW 2033, Australia
[2] Univ New S Wales, Kensington, NSW 2033, Australia
[3] Columbia Univ, New York, NY 10027 USA
来源
WEB AND INTERNET ECONOMICS | 2014年 / 8877卷
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 present three desirable algorithms: CCEA (Controlled Cake Eating Algorithm), MEA (Market Equilibrium Algorithm) and MCSD (Mixed Constrained Serial Dictatorship). CCEA is polynomial-time, robust envy-free, and non-wasteful. Then, we show that there exists an algorithm (MEA) that is polynomial-time, envy-free, proportional, and Pareto optimal. Moreover, we show that for piecewise uniform valuations, MEA and CCEA are group-strategyproof and are equivalent to Mechanism 1 of Chen et. al.(2013). We then present an algorithm MCSD and a way to implement it via randomization that satisfies strategyproofness in expectation, robust proportionality, and unanimity for piecewise constant valuations. We also present impossibility results that show that the properties satisfied by CCEA and MEA are maximal subsets of properties that can be satisfied by any algorithm.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [2] Algorithms for Piecewise Constant Signal Approximations
    Bergerhoff, Leif
    Weickert, Joachim
    Dar, Yehuda
    2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [3] PIECEWISE CONSTANT AND PIECEWISE LINEAR EXPANSIONS
    LARSEN, RD
    MADYCH, WR
    CRAWFORD, EF
    COMPUTERS & CHEMISTRY, 1977, 1 (04): : 267 - 271
  • [4] NUMERICAL REALIZATION OF PIECEWISE-UNIFORM REGULARIZATION ALGORITHMS
    LEONOV, AS
    USSR COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, 1987, 27 (9-10): : 88 - 91
  • [5] Algorithms and Error Bounds for Multivariate Piecewise Constant Approximation
    Davydov, Oleg
    APPROXIMATION ALGORITHMS FOR COMPLEX SYSTEMS, 2011, 3 : 27 - 45
  • [6] Piecewise constant prediction
    Ordentlich, Erik
    Weinberger, Marcelo J.
    Wu, Yihong
    HP Laboratories Technical Report, 2012, (114):
  • [7] Piecewise Constant Prediction
    Ordentlich, Erik
    Weinberger, Marcelo J.
    Wu, Yihong
    2012 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT), 2012, : 880 - 884
  • [8] Cut Pursuit: fast algorithms to learn piecewise constant functions
    Landrieu, Loic
    Obozinski, Guillaume
    ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 51, 2016, 51 : 1384 - 1393
  • [9] Piecewise Monotonic Maps with a Common Piecewise Constant Stationary Density
    Wang, Zi
    Ding, Jiu
    Rhee, Noah
    JOURNAL OF STATISTICAL PHYSICS, 2023, 190 (08)
  • [10] Piecewise Monotonic Maps with a Common Piecewise Constant Stationary Density
    Zi Wang
    Jiu Ding
    Noah Rhee
    Journal of Statistical Physics, 190