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Title: Mechanism design for facility location problems : a survey
Authors: Chan, H
Filos-Ratsikas, A
Li, B 
Li, M
Wang, C
Issue Date: 2021
Source: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal-themed Virtual Reality, 19th-26th August, 2021, p. 4356-4365
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.
Publisher: International Joint Conferences on Artificial Intelligence
ISBN: 978-0-9992411-9-6 (Online)
DOI: 10.24963/ijcai.2021/596
Rights: Copyright © 2021 International Joint Conferences on Artificial Intelligence
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
Posted with permission of the IJCAI Organization (https://www.ijcai.org/).
The following publication Chan, H., Filos-Ratsikas, A., Li, B., Li, M., & Wang, C. (2021). Mechanism design for facility location problems: a survey. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal-themed Virtual Reality, 19th-26th August, 2021, p. 4356-4365. IJCAL, 2021 is available at https://doi.org/10.24963/ijcai.2021/596.
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