Contiguous Cake Cutting: Hardness Results and Approximation Algorithms

被引:0
|
作者
Goldberg, Paul W. [1 ]
Hollender, Alexandros [1 ]
Suksompong, Warut [2 ]
机构
[1] Univ Oxford, Oxford, England
[2] Natl Univ Singapore, Singapore, Singapore
来源
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH | 2020年 / 69卷
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
NASH EQUILIBRIA; COMPLEXITY; DISCRETE; DIVISION; 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 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.
引用
收藏
页码:109 / 141
页数:33
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