Abstract
Cake cutting is a widely studied model for allocating resources with temporal or spatial structures among agents. Recently, a new line of research has emerged that focuses on the discrete variant, where the resources are indivisible and connected by a path. In some real-world applications, the resources are interdependent, and dividing the cake may reduce their effectiveness. In this paper, we introduce a model that captures the effect of division as switching utility loss and investigate the tradeoff between fairness and efficiency for various settings. Specifically, we measure fairness and efficiency using the popular notions of envy-freeness up to one item (EF1) and social welfare, respectively. The goal of our study is to understand how much social welfare must be sacrificed to ensure EF1 allocations and design polynomial-time algorithms that can compute EF1 allocations with the best possible social welfare guarantee. © 2024 International Foundation for Autonomous Agents and Multiagent Systems.
| Original language | English |
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| Title of host publication | AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems |
| Place of Publication | Richland, SC |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 2641-2649 |
| ISBN (Print) | 979-8-4007-0486-4 |
| Publication status | Published - May 2024 |
| Event | 23th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) - Auckland, New Zealand Duration: 6 May 2024 → 10 May 2024 https://www.aamas2024-conference.auckland.ac.nz/ https://dl.acm.org/doi/proceedings/10.5555/3635637 |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
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| ISSN (Print) | 1548-8403 |
Conference
| Conference | 23th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) |
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| Abbreviated title | AAMAS '24 |
| Place | New Zealand |
| City | Auckland |
| Period | 6/05/24 → 10/05/24 |
| Internet address |
Funding
Research of Zheng Chen and Guochuan Zhang was supported by Science and Technology Innovation 2030 - “The Next Generation of Artificial Intelligence” Major Project (2018AAA0100902). Research of Bo Li was supported by the National Natural Science Foundation of China (No. 62102333) and Hong Kong SAR Research Grants Council (No. PolyU 15224823).
Research Keywords
- Envy-freeness
- Fair division
- Social welfare
RGC Funding Information
- RGC-funded