Mechanism Design for Facility Location Problems: A Survey
Abstract
The study of approximate mechanism design for facility location has been in the center of research at the intersection of artificial intelligence and economics for the last decade, largely due to its practical importance in various domains, such as social planning and clustering. At a high level, the goal is to select a number of locations on which to build a set of facilities, aiming to optimize some social objective based on the preferences of strategic agents, who might have incentives to misreport their private information. This paper presents a comprehensive survey of the significant progress that has been made since the introduction of the problem, highlighting all the different variants and methodologies, as well as the most interesting directions for future research.
Cite
Text
Chan et al. "Mechanism Design for Facility Location Problems: A Survey." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/596Markdown
[Chan et al. "Mechanism Design for Facility Location Problems: A Survey." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/chan2021ijcai-mechanism/) doi:10.24963/IJCAI.2021/596BibTeX
@inproceedings{chan2021ijcai-mechanism,
title = {{Mechanism Design for Facility Location Problems: A Survey}},
author = {Chan, Hau and Filos-Ratsikas, Aris and Li, Bo and Li, Minming and Wang, Chenhao},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2021},
pages = {4356-4365},
doi = {10.24963/IJCAI.2021/596},
url = {https://mlanthology.org/ijcai/2021/chan2021ijcai-mechanism/}
}