Towards Optimal Subsidy Bounds for Envy-Freeable Allocations

Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Makoto Yokoo

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

We study the fair division of indivisible items with subsidies among n agents, where the absolute marginal valuation of each item is at most one. Under monotone valuations (where each item is a good), it is known that a maximum subsidy of 2(n − 1) and a total subsidy of 2(n − 1)2 are sufficient to guarantee the existence of an envy-freeable allocation. In this paper, we improve upon these bounds, even in a wider model. Namely, we show that, given an EF1 allocation, we can compute in polynomial time an envy-free allocation with a subsidy of at most n − 1 per agent and a total subsidy of at most n(n − 1)/2. Moreover, we present further improved bounds for monotone valuations.

本文言語英語
ホスト出版物のタイトルTechnical Tracks 14
編集者Michael Wooldridge, Jennifer Dy, Sriraam Natarajan
出版社Association for the Advancement of Artificial Intelligence
ページ9824-9831
ページ数8
9
ISBN(電子版)1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879
DOI
出版ステータス出版済み - 3月 25 2024
イベント38th AAAI Conference on Artificial Intelligence, AAAI 2024 - Vancouver, カナダ
継続期間: 2月 20 20242月 27 2024

出版物シリーズ

名前Proceedings of the AAAI Conference on Artificial Intelligence
番号9
38
ISSN(印刷版)2159-5399
ISSN(電子版)2374-3468

会議

会議38th AAAI Conference on Artificial Intelligence, AAAI 2024
国/地域カナダ
CityVancouver
Period2/20/242/27/24

!!!All Science Journal Classification (ASJC) codes

  • 人工知能

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