IJCAI 2024poster11 citations

On the Pursuit of EFX for Chores: Non-existence and Approximations

Vasilis Christoforidis, Christodoulos Santorinaios

Abstract

We study the problem of fairly allocating a set of chores to a group of agents. The existence of envy-free up to any item (EFX) allocations is a long-standing open question for both goods and chores. We resolve this question by providing a negative answer for the latter, presenting a simple construction that admits no EFX solutions for allocating six items to three agents equipped with superadditive cost functions, thus proving a separation result between goods and bads. In fact, we uncover a deeper insight, showing that the instance has unbounded approximation ratio. Moreover, we show that deciding whether an EFX allocation exists is NP-complete. On the positive side, we establish the existence of EFX allocations under general monotone cost functions when the number of items is at most n + 2. We then shift our attention to additive cost functions. We employ a general framework in order to improve the approximation guarantees in the well-studied case of three additive agents, and provide several conditional approximation bounds that leverage ordinal information.

Game Theory and Economic Paradigms: GTEP: Fair division
BibTeX
@inproceedings{ijcai2024p300,
  title     = {On the Pursuit of EFX for Chores: Non-existence and Approximations},
  author    = {Christoforidis, Vasilis and Santorinaios, Christodoulos},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-24}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Kate Larson},
  pages     = {2713--2721},
  year      = {2024},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2024/300},
  url       = {https://doi.org/10.24963/ijcai.2024/300},
}