Abstract
We study the problem of fairly allocating a divisible resource, also known as cake cutting, with an additional requirement that the shares that different agents receive should be sufficiently separated from one another. This captures, for example, constraints arising from social distancing guidelines. While it is sometimes impossible to allocate a proportional share to every agent under the separation requirement, we show that the well-known criterion of maximin share fairness can always be attained. We then establish several computational properties of maximin share fairness—for instance, the maximin share of an agent cannot be computed exactly by any finite algorithm, but can be approximated with an arbitrarily small error. In addition, we consider the division of a pie (i.e., a circular cake) and show that an ordinal relaxation of maximin share fairness can be achieved.
Original language | English (US) |
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Title of host publication | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 5330-5338 |
Number of pages | 9 |
ISBN (Electronic) | 9781713835974 |
DOIs | |
State | Published - 2021 |
Event | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online Duration: Feb 2 2021 → Feb 9 2021 |
Publication series
Name | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
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Volume | 6B |
Conference
Conference | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
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City | Virtual, Online |
Period | 2/2/21 → 2/9/21 |
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 the anonymous reviewers for their valuable comments.
ASJC Scopus subject areas
- Artificial Intelligence