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Mind the Gap: Cake Cutting With Separation
35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence ; 35:5330-5338, 2021.
Article in English | Web of Science | ID: covidwho-1395937
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.
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Collection: Databases of international organizations Database: Web of Science Language: English Journal: 33rd Conference on Innovative Applications of Artificial Intelligence Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: Web of Science Language: English Journal: 33rd Conference on Innovative Applications of Artificial Intelligence Year: 2021 Document Type: Article