Fair and Efficient Allocations of Chores under Bivalued Preferences

Authors

  • Jugal Garg University of Illinois, Urbana-Champaign
  • Aniket Murhekar University of Illinois, Urbana-Champaign
  • John Qin University of Illinois Urbana-Champaign

DOI:

https://doi.org/10.1609/aaai.v36i5.20436

Keywords:

Game Theory And Economic Paradigms (GTEP)

Abstract

We study the problem of fair and efficient allocation of a set of indivisible chores to agents with additive cost functions. We consider the popular fairness notion of envy-freeness up to one good (EF1) with the efficiency notion of Pareto-optimality (PO). While it is known that EF1+PO allocations exists and can be computed in pseudo-polynomial time in the case of goods, the same problem is open for chores. Our first result is a strongly polynomial-time algorithm for computing an EF1+PO allocation for bivalued instances, where agents have (at most) two disutility values for the chores. To the best of our knowledge, this is the first non-trivial class of chores to admit an EF1+PO allocation and an efficient algorithm for its computation. We also study the problem of computing an envy-free (EF) and PO allocation for the case of divisible chores. While the existence of EF+PO allocation is known via competitive equilibrium with equal incomes, its efficient computation is open. Our second result shows that for bivalued instances, an EF+PO allocation can be computed in strongly polynomial-time.

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Published

2022-06-28

How to Cite

Garg, J., Murhekar, A., & Qin, J. (2022). Fair and Efficient Allocations of Chores under Bivalued Preferences. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 5043-5050. https://doi.org/10.1609/aaai.v36i5.20436

Issue

Section

AAAI Technical Track on Game Theory and Economic Paradigms