Approximate Envy-Freeness in Graphical Cake Cutting

被引:0
|
作者
Yuen, Sheung Man [1 ]
Suksompong, Warut [1 ]
机构
[1] Natl Univ Singapore, Singapore, Singapore
来源
PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023 | 2023年
关键词
CUT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We study the problem of fairly allocating a divisible resource in the form of a graph, also known as graphical cake cutting. Unlike for the canonical interval cake, a connected envy-free allocation is not guaranteed to exist for a graphical cake. We focus on the existence and computation of connected allocations with low envy. For general graphs, we show that there is always a 1/2-additive-envy-free allocation and, if the agents' valuations are identical, a (2 + epsilon)-multiplicative-envy-free allocation for any epsilon > 0. In the case of star graphs, we obtain a multiplicative factor of 3 + epsilon for arbitrary valuations and 2 for identical valuations. We also derive guarantees when each agent can receive more than one connected piece. All of our results come with efficient algorithms for computing the respective allocations.
引用
收藏
页码:2923 / 2930
页数:8
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