On Regular and Approximately Fair Allocations of Indivisible Goods

Abstract

An active stream of research is devoted to the design of polynomial approximation algorithms for the fair allocation of indivisible goods. Central to this field is the MaxMin Allocation problem, for which there is a significant gap between known approximation and inapproximability results. Closing this gap is a stimulating challenge. To this end, we consider a regular version of MaxMin Allocation where each agent must receive exactly k goods for a given integer k. We call this problem k-Division. The analysis of this problem allows us to highlight two interesting features of the classical MaxMin Allocation problem. First, we show a close connection of the problem with matroid theory. This connection provides us an exact algorithm for a special case of k-division and a 1/k-approximation algorithm for general inputs. Moreover, we show that the difficulty of the MaxMin Allocation may be caught by an apparently simpler problem, namely the k-Division problem in which an agent's utility for a single good can only take one value out of three.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2014
Accession Number
ADA601738

Entities

People

  • Diodato Ferraioli
  • Jerome Monnot
  • Laurent Gourves

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  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Autonomous Agents
  • Computer Science
  • Computers
  • Economics
  • Guarantees
  • Information Operations
  • Mathematics
  • Multiagent Systems
  • Political Science
  • Polynomials
  • Social Sciences
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  • Theoretical Computer Science
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Fields of Study

  • Economics

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  • Economics
  • Game Theory.
  • Graph Algorithms and Convex Optimization.