Cake Cutting: Envy and Truth

Xiaohui Bei, Ning Chen, Guangda Huzhang, Biaoshuai Tao, Jiajun Wu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Main track. Pages 3625-3631.

https://doi.org/10.24963/ijcai.2017/507

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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.

Keywords

  • Multidisciplinary Topics and Applications: AI and Social Sciences
  • Knowledge Representation, Reasoning, and Logic: Game Theory
  • Agent-based and Multi-agent Systems: Economic paradigms, auctions and market-based systems
  • Agent-based and Multi-agent Systems: Social Choice Theory
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