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.
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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