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Fair Division of Indivisible Goods: A Survey
Abstract
Allocating resources to individuals in a fair manner has been a topic of interest since the ancient times, with most of the early rigorous mathematical work on the problem focusing on infinitely divisible resources. Recently, there has been a surge of papers studying computational questions regarding various different notions of fairness for the indivisible case, like maximin share fairness (MMS) and envy-freeness up to any good (EFX). We survey the most important results in the discrete fair division literature, focusing on the case of additive valuation functions and paying particular attention to the progress made in the last 10 years.
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“so most fairness guarantees permit minimal possible levels of unfairness (Amanatidis et al., 2022).”
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“when decisions need to be discrete, perfect fairness is often unachievable”
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Cited by
Multi-Agent Risks from Advanced AI
Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., et al. (2025) · arXiv · doi:10.48550/arxiv.2502.14143 · Cited by 305
Metadata
- Authors
- Amanatidis, G., Birmpas, G., Filos-Ratsikas, A., & Voudouris, A. A.
- Affiliations
- University of Essex
- Sapienza University of Rome
- University of Liverpool
- Venue
- Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
- Published
- 2022-07
- Pages
- 5385-5393
- Cited by
- 20
- References
- 0
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