The Complexity of Envy-Free Graph Cutting
Abstract
We consider the problem of fairly dividing a set of heterogeneous divisible resources among agents with different preferences. We focus on the setting where the resources correspond to the edges of a connected graph, every agent must be assigned a connected piece of this graph, and the fairness notion considered is the classical envy freeness. The problem is NP-complete, and we analyze its complexity with respect to two natural complexity measures: the number of agents and the number of edges in the graph. While the problem remains NP-hard even for instances with 2 agents, we provide a dichotomy characterizing the complexity of the problem when the number of agents is constant based on structural properties of the graph. For the latter case, we design a polynomial-time algorithm when the graph has a constant number of edges.
Cite
Text
Deligkas et al. "The Complexity of Envy-Free Graph Cutting." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/34Markdown
[Deligkas et al. "The Complexity of Envy-Free Graph Cutting." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/deligkas2022ijcai-complexity/) doi:10.24963/IJCAI.2022/34BibTeX
@inproceedings{deligkas2022ijcai-complexity,
title = {{The Complexity of Envy-Free Graph Cutting}},
author = {Deligkas, Argyrios and Eiben, Eduard and Ganian, Robert and Hamm, Thekla and Ordyniak, Sebastian},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2022},
pages = {237-243},
doi = {10.24963/IJCAI.2022/34},
url = {https://mlanthology.org/ijcai/2022/deligkas2022ijcai-complexity/}
}