Nash Welfare in the Facility Location Problem
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4897-4898.
https://doi.org/10.24963/ijcai.2021/680
Keywords
- Agent-based and Multi-agent Systems: Algorithmic Game Theory
- Agent-based and Multi-agent Systems: Computational Social Choice
- Agent-based and Multi-agent Systems: Voting
- Agent-based and Multi-agent Systems: Economic Paradigms, Auctions and Market-Based Systems
Abstract
In most facility location research, either an efficient facility placement which minimizes the total cost or a fairer placement which minimizes the maximum cost are typically proposed. To find a solution that is both fair and efficient, we propose converting the agent costs to utilities and placing the facility/ies such that the product of utilities, also known as the Nash welfare, is maximized. We ask whether the Nash welfare's well-studied balance between fairness and efficiency also applies to the facility location setting, and what agent strategic behaviour may occur under this facility placement.
@inproceedings{ijcai2021p680,
title = {Nash Welfare in the Facility Location Problem},
author = {Lam, Alexander},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {4897--4898},
year = {2021},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2021/680},
url = {https://doi.org/10.24963/ijcai.2021/680},
}
TY - CPAPER TI - Nash Welfare in the Facility Location Problem AU - Lam, Alexander T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4897 EP - 4898 DO - 10.24963/ijcai.2021/680 UR - https://doi.org/10.24963/ijcai.2021/680 ER -Copied
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