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The Fair Division of Hereditary Set Systems

Published: 09 February 2021 Publication History

Abstract

We consider the fair division of indivisible items using the maximin shares measure. Recent work on the topic has focused on extending results beyond the class of additive valuation functions. In this spirit, we study the case where the items form a hereditary set system. We present a simple algorithm that allocates each agent a bundle of items whose value is at least 0.3666 times the maximin share of the agent. This improves upon the current best known guarantee of 0.2 due to Ghodsi et al. The analysis of the algorithm is almost tight; we present an instance where the algorithm provides a guarantee of at most 0.3738. We also show that the algorithm can be implemented in polynomial time given a valuation oracle for each agent.

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Cited By

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  • (2024)Approximating APS Under Submodular and XOS Valuations with Binary MarginalsProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662961(1057-1065)Online publication date: 6-May-2024
  • (2022)Maximin Shares Under Cardinality ConstraintsMulti-Agent Systems10.1007/978-3-031-20614-6_11(188-206)Online publication date: 11-Dec-2022
  • (2022)Approximating Nash Social Welfare Under Binary XOS and Binary Subadditive ValuationsWeb and Internet Economics10.1007/978-3-030-94676-0_21(373-390)Online publication date: 1-Jan-2022
  • Show More Cited By

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Published In

cover image ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation  Volume 9, Issue 2
Special Issue on WINE'18: Part 2
June 2021
91 pages
ISSN:2167-8375
EISSN:2167-8383
DOI:10.1145/3446676
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 February 2021
Accepted: 01 September 2020
Revised: 01 April 2019
Received: 01 April 2019
Published in TEAC Volume 9, Issue 2

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Author Tags

  1. Algorithmic game theory
  2. allocation problems
  3. fair division

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Cited By

View all
  • (2024)Approximating APS Under Submodular and XOS Valuations with Binary MarginalsProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662961(1057-1065)Online publication date: 6-May-2024
  • (2022)Maximin Shares Under Cardinality ConstraintsMulti-Agent Systems10.1007/978-3-031-20614-6_11(188-206)Online publication date: 11-Dec-2022
  • (2022)Approximating Nash Social Welfare Under Binary XOS and Binary Subadditive ValuationsWeb and Internet Economics10.1007/978-3-030-94676-0_21(373-390)Online publication date: 1-Jan-2022
  • (2021)Constraints in fair divisionACM SIGecom Exchanges10.1145/3505156.350516219:2(46-61)Online publication date: 6-Dec-2021

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