Abstract
This paper is part of an ongoing endeavor to bring the theory of fair division closer to practice by handling requirements from real-life applications. We focus on two requirements originating from the division of land estates: (1) each agent should receive a plot of a usable geometric shape, and (2) plots of different agents must be physically separated. With these requirements, the classic fairness notion of proportionality is impractical, since it may be impossible to attain any multiplicative approximation of it. In contrast, the ordinal maximin share approximation, introduced by Budish in 2011, provides meaningful fairness guarantees. We prove upper and lower bounds on achievable maximin share guarantees when the usable shapes are squares, fat rectangles, or arbitrary axes-aligned rectangles, and explore the algorithmic and query complexity of finding fair partitions in this setting.
Original language | English |
---|---|
Title of host publication | Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
Editors | Zhi-Hua Zhou |
Publisher | International Joint Conferences on Artificial Intelligence |
Pages | 168-174 |
Number of pages | 7 |
ISBN (Electronic) | 9780999241196 |
State | Published - 2021 |
Externally published | Yes |
Event | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online, Canada Duration: 19 Aug 2021 → 27 Aug 2021 |
Publication series
Name | IJCAI International Joint Conference on Artificial Intelligence |
---|---|
ISSN (Print) | 1045-0823 |
Conference
Conference | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
---|---|
Country/Territory | Canada |
City | Virtual, Online |
Period | 19/08/21 → 27/08/21 |
Bibliographical note
Publisher Copyright:© 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.
Funding
This work was partially supported by the European Research Council (ERC) under grant number 639945 (ACCORD), by the Israel Science Foundation under grant number 712/20, and by an NUS Start-up Grant. We would like to thank Kshi-tij Gajjar for his insights regarding guillotine partitions and the anonymous reviewers for their valuable comments.
Funders | Funder number |
---|---|
Horizon 2020 Framework Programme | 639945 |
European Commission | |
National University of Singapore | |
Israel Science Foundation | 712/20 |