Graphical Cake Cutting via Maximin Share
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 161-167.
https://doi.org/10.24963/ijcai.2021/23
Keywords
- Agent-based and Multi-agent Systems: Computational Social Choice
- Agent-based and Multi-agent Systems: Resource Allocation
Abstract
We study the recently introduced cake-cutting setting in which the cake is represented by an undirected graph. This generalizes the canonical interval cake and allows for modeling the division of road networks. We show that when the graph is a forest, an allocation satisfying the well-known criterion of maximin share fairness always exists. Our result holds even when separation constraints are imposed; however, in the latter case no multiplicative approximation of proportionality can be guaranteed. Furthermore, while maximin share fairness is not always achievable for general graphs, we prove that ordinal relaxations can be attained.
@inproceedings{ijcai2021p23,
title = {Graphical Cake Cutting via Maximin Share},
author = {Elkind, Edith and Segal-Halevi, Erel and Suksompong, Warut},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {161--167},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/23},
url = {https://doi.org/10.24963/ijcai.2021/23},
}
TY - CPAPER TI - Graphical Cake Cutting via Maximin Share AU - Elkind, Edith AU - Segal-Halevi, Erel AU - Suksompong, Warut T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 161 EP - 167 DO - 10.24963/ijcai.2021/23 UR - https://doi.org/10.24963/ijcai.2021/23 ER -Copied
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