Arrow Research search
Back to AAMAS

AAMAS 2022

On Fair and Efficient Solutions for Budget Apportionment

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

This works deals with an apportionment problem recently introduced in [9]. In this problem involving multiple agents, it is desirable to propose fair and efficient solutions. Several alternative notions of fairness exist but combining efficiency with fairness is often impossible, and a trade-off has to be made. We first study the computation of almost fair and approximately efficient solutions, and we determine when these two goals can be met. Afterwards, we characterize the price of fairness which bounds the loss of efficiency caused by imposing fairness or one of its relaxations.

Authors

Keywords

  • Computational Social Choice
  • Fairness
  • Efficiency
  • Apportionment

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
76740791116329186
v2026.09.13