@inproceedings{aac3dcbbc8754dcd8e7637fdff155223,
title = "Fair division of time: Multi-layered cake cutting",
abstract = "We initiate the study of multi-layered cake cutting with the goal of fairly allocating multiple divisible resources (layers of a cake) among a set of agents. The key requirement is that each agent can only utilize a single resource at each time interval. Several real-life applications exhibit such restrictions on overlapping pieces, for example, assigning time intervals over multiple facilities and resources or assigning shifts to medical professionals. We investigate the existence and computation of envy-free and proportional allocations. We show that envy-free allocations that are both feasible and contiguous are guaranteed to exist for up to three agents with two types of preferences, when the number of layers is two. We further devise an algorithm for computing proportional allocations for any number of agents when the number of layers is factorable to three and/or some power of two.",
author = "Hadi Hosseini and Ayumi Igarashi and Andrew Searns",
note = "Funding Information: Hadi Hosseini was supported by the National Science Foundation (grant IIS-1850076). Ayumi Igarashi was supported by the KAKENHI Grant-in-Aid for JSPS Fellows no. 18J00997 and JST, ACT-X. The authors would like to thank Yuki Tamura for introducing the problem to us and for the fruitful discussions. The authors also acknowledge the helpful comments by the GAIW and IJCAI reviewers. We are grateful to an anonymous GAIW reviewer for the proof of the existence of an envy-free feasible multi-allocation in the general case. Publisher Copyright: {\textcopyright} 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.; 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 ; Conference date: 01-01-2021",
year = "2020",
language = "English (US)",
series = "IJCAI International Joint Conference on Artificial Intelligence",
publisher = "International Joint Conferences on Artificial Intelligence",
pages = "182--188",
editor = "Christian Bessiere",
booktitle = "Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020",
}