<div class="csl-bib-body">
<div class="csl-entry">Igarashi, A., Lackner, M., Nardi, O., & Novaro, A. (2024). Repeated fair allocation of indivisible items. In <i>AAAI’24/IAAI’24/EAAI’24: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence</i> (pp. 9781–9789). AAAI Press. https://doi.org/10.1609/AAAI.V38I9.28837</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/210907
-
dc.description.abstract
The problem of fairly allocating a set of indivisible items is a well-known challenge in the field of (computational) social choice. In this scenario, there is a fundamental incompatibility between notions of fairness (such as envy-freeness and proportionality) and economic efficiency (such as Pareto-optimality). However, in the real world, items are not always allocated once and for all, but often repeatedly. For example, the items may be recurring chores to distribute in a household. Motivated by this, we initiate the study of the repeated fair division of indivisible goods and chores, and propose a formal model for this scenario. In this paper, we show that, if the number of repetitions is a multiple of the number of agents, there always exists a sequence of allocations that is proportional and Pareto-optimal. On the other hand, irrespective of the number of repetitions, an envy-free and Pareto-optimal sequence of allocations may not exist. For the case of two agents, we show that if the number of repetitions is even, it is always possible to find a sequence of allocations that is overall envy-free and Pareto-optimal. We then prove even stronger fairness guarantees, showing that every allocation in such a sequence satisfies some relaxation of envy-freeness. Finally, in case that the number of repetitions can be chosen freely, we show that envy-free and Pareto-optimal allocations are achievable for any number of agents.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
-
dc.language.iso
en
-
dc.subject
GTEP: Fair Division
en
dc.subject
Indivisible Items
en
dc.subject
Related Work
en
dc.title
Repeated fair allocation of indivisible items
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
AAAI'24/IAAI'24/EAAI'24: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence
-
dc.contributor.affiliation
The University of Tokyo, Japan
-
dc.contributor.affiliation
Université Paris 1 Panthéon-Sorbonne, France
-
dc.relation.isbn
978-1-57735-887-9
-
dc.relation.issn
2159-5399
-
dc.description.startpage
9781
-
dc.description.endpage
9789
-
dc.relation.grantno
P 31890-N31
-
dc.type.category
Full-Paper Contribution
-
dc.relation.eissn
2374-3468
-
tuw.booktitle
AAAI'24/IAAI'24/EAAI'24: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence
-
tuw.container.volume
38
-
tuw.peerreviewed
true
-
tuw.relation.publisher
AAAI Press
-
tuw.project.title
Algorithms for Sustainable Group Decision Making
-
tuw.researchTopic.id
I1
-
tuw.researchTopic.name
Logic and Computation
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
tuw.publication.orgunit
E056-13 - Fachbereich LogiCS
-
tuw.publisher.doi
10.1609/AAAI.V38I9.28837
-
dc.description.numberOfPages
9
-
tuw.author.orcid
0000-0003-2170-0770
-
tuw.author.orcid
0000-0003-4241-8299
-
tuw.event.name
38th AAAI Conference on Artificial Intelligence (AAAI 2024)
en
tuw.event.startdate
20-02-2024
-
tuw.event.enddate
27-02-2024
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Vancouver
-
tuw.event.country
CA
-
tuw.event.presenter
Nardi, Oliviero
-
tuw.event.track
Multi Track
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
-
item.grantfulltext
none
-
item.openairetype
conference paper
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.fulltext
no Fulltext
-
crisitem.project.funder
FWF - Österr. Wissenschaftsfonds
-
crisitem.project.grantno
P 31890-N31
-
crisitem.author.dept
The University of Tokyo
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence