Cake Cutting: Envy and Truth

Author:

Bei Xiaohui1,Chen Ning1,Huzhang Guangda1,Tao Biaoshuai2,Wu Jiajun1

Affiliation:

1. School of Physical and Mathematical Sciences, Nanyang Technological University

2. Department of Computer Science and Engineering, University of Michigan

Abstract

We study envy-free cake cutting with strategic agents, where each agent may manipulate his private information in order to receive a better allocation. We focus on piecewise constant utility functions and consider two scenarios: the general setting without any restriction on the allocations and the restricted setting where each agent has to receive a connected piece. We show that no deterministic truthful envy-free mechanism exists in the connected piece scenario, and the same impossibility result for the general setting with some additional mild assumptions on the allocations. Finally, we study a large market model where the economy is replicated and demonstrate that truth-telling converges to a Nash equilibrium.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Truthful cake sharing;Social Choice and Welfare;2024-01-16

2. Envy-Free Cake-Cutting for Four Agents;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

3. Maximal Information Propagation with Limited Resources;Lecture Notes in Computer Science;2023

4. Maximize Egalitarian Welfare for Cake Cutting;Frontiers of Algorithmics;2023

5. EFX Allocations Exist for Binary Valuations;Frontiers of Algorithmics;2023

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