Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms

Abstract

In the assignment problem, the goal is to assign indivisible items to agents who have ordinal preferences, efficiently and fairly, in a strategyproof manner. In practice, first-choice maximality, i.e., assigning a maximal number of agents their top items, is often identified as an important efficiency criterion and measure of agents' satisfaction. In this paper, we propose a natural and intuitive efficiency property, favoring-eagerness-for-remaining-items (FERI), which requires that each item is allocated to an agent who ranks it highest among remaining items, thereby implying first-choice maximality. Using FERI as a heuristic, we design mechanisms that satisfy ex-post or ex-ante variants of FERI together with combinations of other desirable properties of efficiency (Pareto-efficiency), fairness (strong equal treatment of equals and sd-weak-envy-freeness), and strategyproofness (sd-weak-strategyproofness). We also explore the limits of FERI mechanisms in providing stronger efficiency, fairness, or strategyproofness guarantees through impossibility results.

Cite

Text

Guo et al. "Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms." Journal of Artificial Intelligence Research, 2023. doi:10.1613/JAIR.1.13878

Markdown

[Guo et al. "Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms." Journal of Artificial Intelligence Research, 2023.](https://mlanthology.org/jair/2023/guo2023jair-favoring/) doi:10.1613/JAIR.1.13878

BibTeX

@article{guo2023jair-favoring,
  title     = {{Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms}},
  author    = {Guo, Xiaoxi and Sikdar, Sujoy and Xia, Lirong and Cao, Yongzhi and Wang, Hanpin},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {2023},
  pages     = {287-339},
  doi       = {10.1613/JAIR.1.13878},
  volume    = {76},
  url       = {https://mlanthology.org/jair/2023/guo2023jair-favoring/}
}