Fair and truthful allocations under leveled valuations
We study the problem of fairly allocating indivisible goods among agents which are equipped with leveled valuation functions. Such preferences, that have been studied before in economics and fair division literature, capture a simple and intuitive economic behavior; larger bundles are always preferred to smaller ones. We provide a fine-grained analysis for various subclasses of leveled valuations focusing on two extensively studied notions of fairness, (approximate) MMS and EFX. In particular, we present a general positive result, showing the existence of 2/3-MMS allocations under valuations that are both leveled and submodular. We also show how some of our ideas can be used beyond the class of leveled valuations; for the case of two submodular (not necessarily leveled) agents we show that there always exists a 2/3-MMS allocation, complementing a recent impossibility result. Then, we switch to the case of subadditive and fractionally subadditive leveled agents, where we are able to show tight (lower and upper) bounds of 1/2 on the approximation factor of MMS. Moreover, we show the existence of exact EFX allocations under general leveled valuations via a simple protocol that in addition satisfies several natural economic properties. Finally, we take a mechanism design approach and we propose protocols that are both truthful and approximately fair under leveled valuations. • We study various notions of fairness under leveled valuations. • Positive results regarding the existence of approximate MMS allocations. • We show the existence of exact EFX allocations under leveled valuations. • We explore the interplay of fairness and incentive compatibility for this class of valuations and show positive results.
Authors
- George Christodoulou (ORCID: https://orcid.org/0000-0002-9623-7461)
- Vasilis Christoforidis
Institutions
- Aristotle University of Thessaloniki (GR)
- Archimedia (Greece) (GR)
- Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
Publication Details
- Journal
- Information Processing Letters
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1016/j.ipl.2025.106577
- Primary Topic
- Game Theory and Voting Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission