Residential Collegefalse
Status已發表Published
Approximately EFX allocations for indivisible chores
Zhou, Shengwei; Wu, Xiaowei
2024
Source PublicationArtificial Intelligence
ISSN0004-3702
Volume326Pages:104037
Abstract

In this paper, we study how to fairly allocate a set of m indivisible chores to a group of n agents, each of which has a general additive cost function on the items. Since envy-free (EF) allocations are not guaranteed to exist, we consider the notion of envy-freeness up to any item (EFX). In contrast to the fruitful results regarding the (approximation of) EFX allocations for goods, very little is known for the allocation of chores. Prior to our work, for the allocation of chores, it is known that EFX allocations always exist for two agents or general number of agents with identical ordering cost functions. For general instances, no non-trivial approximation result regarding EFX allocation is known. In this paper, we make progress in this direction by providing several polynomial time algorithms for the computation of EFX and approximately EFX allocations. We show that for three agents we can always compute a (2+6)-approximation of EFX allocation. For n≥4 agents, our algorithm always computes a (3n−n)-approximation. We also study the bi-valued instances, in which agents have at most two cost values on the chores. For three agents, we provide an algorithm for the computation of EFX allocations. For n≥4 agents, we present algorithms for the computation of partial EFX allocations with at most (n−1) unallocated items; and (n−1)-approximation of EFX allocations.

KeywordApproximation Algorithm Fair Allocation
DOI10.1016/j.artint.2023.104037
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:001115036200001
Scopus ID2-s2.0-85176248204
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWu, Xiaowei
AffiliationIOTSC, University of Macau, Macau, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhou, Shengwei,Wu, Xiaowei. Approximately EFX allocations for indivisible chores[J]. Artificial Intelligence, 2024, 326, 104037.
APA Zhou, Shengwei., & Wu, Xiaowei (2024). Approximately EFX allocations for indivisible chores. Artificial Intelligence, 326, 104037.
MLA Zhou, Shengwei,et al."Approximately EFX allocations for indivisible chores".Artificial Intelligence 326(2024):104037.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou, Shengwei]'s Articles
[Wu, Xiaowei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou, Shengwei]'s Articles
[Wu, Xiaowei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou, Shengwei]'s Articles
[Wu, Xiaowei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.