Multi-Agent Non-Discriminatory Contracts
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 3385-3392.
https://doi.org/10.24963/ijcai.2026/376
Keywords
- Game Theory and Economic Paradigms: Auctions and market-based systems
- Game Theory and Economic Paradigms: Computational social choice
Abstract
We study multi-agent contracts, in which a principal delegates a task to multiple agents and incentivizes them to exert effort. Prior research has mostly focused on maximizing the principal’s utility, often resulting in highly disparate payments among agents. Such disparities among agents may be undesirable in practice, for example, in standardized public contracting or worker cooperatives where fairness concerns are essential. Motivated by these considerations, our objective is to quantify the tradeoff between maximizing the principal's utility and equalizing payments among agents, which we call the price of non-discrimination. Our first result is an almost tight bound on the price of non-discrimination, which scales logarithmically with the number of agents. This bound can be improved to a constant by allowing some relaxation of the non-discrimination requirement. We then provide a comprehensive characterization of the tradeoff between the level of non-discrimination and the loss in the optimal utility.
@inproceedings{ijcai2026p376,
title = {Multi-Agent Non-Discriminatory Contracts},
author = {Ding, Ke and Li, Bo and Sun, Ankang},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {3385--3392},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/376},
url = {https://doi.org/10.24963/ijcai.2026/376},
}
TY - CPAPER TI - Multi-Agent Non-Discriminatory Contracts AU - Ding, Ke AU - Li, Bo AU - Sun, Ankang T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 3385 EP - 3392 DO - 10.24963/ijcai.2026/376 UR - https://doi.org/10.24963/ijcai.2026/376 ER -Copied
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