Two-Sided Matching Meets Fair Division

Freeman, Rupert; Micha, Evi; Shah, Nisarg

doi:10.24963/ijcai.2021/29

Two-Sided Matching Meets Fair Division

Rupert Freeman, Evi Micha, Nisarg Shah

Download BibTeX Cite

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 203-209.

https://doi.org/10.24963/ijcai.2021/29

Keywords

AI Ethics, Trust, Fairness: Fairness
Agent-based and Multi-agent Systems: Computational Social Choice
Agent-based and Multi-agent Systems: Resource Allocation

Abstract

We introduce a new model for two-sided matching which allows us to borrow popular fairness notions from the fair division literature such as envy-freeness up to one good and maximin share guarantee. In our model, each agent is matched to multiple agents on the other side over whom she has additive preferences. We demand fairness for each side separately, giving rise to notions such as double envy-freeness up to one match (DEF1) and double maximin share guarantee (DMMS). We show that (a slight strengthening of) DEF1 cannot always be achieved, but in the special case where both sides have identical preferences, the round-robin algorithm with a carefully designed agent ordering achieves it. In contrast, DMMS cannot be achieved even when both sides have identical preferences.

Rupert Freeman, Evi Micha, and Nisarg Shah. 2021. Two-Sided Matching Meets Fair Division. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 203–209. https://doi.org/10.24963/ijcai.2021/29

@inproceedings{ijcai2021p29,
  title     = {Two-Sided Matching Meets Fair Division},
  author    = {Freeman, Rupert and Micha, Evi and Shah, Nisarg},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {203--209},
  year      = {2021},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2021/29},
  url       = {https://doi.org/10.24963/ijcai.2021/29},
}

TY  - CPAPER
TI  - Two-Sided Matching Meets Fair Division
AU  - Freeman, Rupert
AU  - Micha, Evi
AU  - Shah, Nisarg
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 203
EP  - 209
DO  - 10.24963/ijcai.2021/29
UR  - https://doi.org/10.24963/ijcai.2021/29
ER  -