Contiguous Cake Cutting: Hardness Results and Approximation Algorithms
Abstract
We study the fair allocation of a cake, which serves as a metaphor for a divisible resource, under the requirement that each agent should receive a contiguous piece of the cake. While it is known that no finite envy-free algorithm exists in this setting, we exhibit efficient algorithms that produce allocations with low envy among the agents. We then establish NP-hardness results for various decision problems on the existence of envy-free allocations, such as when we fix the ordering of the agents or constrain the positions of certain cuts. In addition, we consider a discretized setting where indivisible items lie on a line and show a number of hardness results extending and strengthening those from prior work. Finally, we investigate connections between approximate and exact envy-freeness, as well as between continuous and discrete cake cutting.
Cite
Text
Goldberg et al. "Contiguous Cake Cutting: Hardness Results and Approximation Algorithms." Journal of Artificial Intelligence Research, 2020. doi:10.1613/JAIR.1.12222Markdown
[Goldberg et al. "Contiguous Cake Cutting: Hardness Results and Approximation Algorithms." Journal of Artificial Intelligence Research, 2020.](https://mlanthology.org/jair/2020/goldberg2020jair-contiguous/) doi:10.1613/JAIR.1.12222BibTeX
@article{goldberg2020jair-contiguous,
title = {{Contiguous Cake Cutting: Hardness Results and Approximation Algorithms}},
author = {Goldberg, Paul W. and Hollender, Alexandros and Suksompong, Warut},
journal = {Journal of Artificial Intelligence Research},
year = {2020},
pages = {109-141},
doi = {10.1613/JAIR.1.12222},
volume = {69},
url = {https://mlanthology.org/jair/2020/goldberg2020jair-contiguous/}
}