Swap Bounded Envy

Fuente: arXiv
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Autori principali: Echenique, Federico, Goel, Sumit, Lee, SangMok
Natura: Preprint
Pubblicazione: 2025
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author Echenique, Federico
Goel, Sumit
Lee, SangMok
author_facet Echenique, Federico
Goel, Sumit
Lee, SangMok
contents We study fairness in the allocation of discrete goods. Exactly fair (envy-free) allocations are impossible, so we discuss notions of approximate fairness. In particular, we focus on allocations in which the swap of two items serves to eliminate any envy, either for the allocated bundles or with respect to a reference bundle. We propose an algorithm that, under some restrictions on agents' preferences, achieves an allocation with ``swap bounded envy.''
format Preprint
id arxiv_https___arxiv_org_abs_2508_09290
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Swap Bounded Envy
Echenique, Federico
Goel, Sumit
Lee, SangMok
Theoretical Economics
Computer Science and Game Theory
We study fairness in the allocation of discrete goods. Exactly fair (envy-free) allocations are impossible, so we discuss notions of approximate fairness. In particular, we focus on allocations in which the swap of two items serves to eliminate any envy, either for the allocated bundles or with respect to a reference bundle. We propose an algorithm that, under some restrictions on agents' preferences, achieves an allocation with ``swap bounded envy.''
title Swap Bounded Envy
topic Theoretical Economics
Computer Science and Game Theory
url https://arxiv.org/abs/2508.09290