The study of approximate mechanism design for facility location problems has been in the center of research at the intersection of artificial intelligence and economics for the last decades, largely due to its practical importance in various domains, such as social planning and clustering.At a high level, the goal is to design mechanisms to select a set of locations on which to build a set of facilities, aiming to optimize some social objective and ensure desirable properties based on the preferences of strategic agents, who might have incentives to misreport their private information such as their locations. This paper presents a comprehensive survey of the significant progress that has been made since the introduction of the problem, highlighting the different variants and methodologies, as well as the most interesting directions for future research.
翻译:在过去几十年中,设施定位问题近似机制设计研究一直是人工智能与经济学交汇点的研究中心,这主要是因为其在社会规划和集群等各个领域具有实际重要性。 高级别的目标是设计机制,选择一套地点,据以建立一套设施,目的是优化某些社会目标,并确保根据战略代理人的偏好(这些代理人可能会有动机错误报告其私人信息,如其位置)的可取性;本文件对自提出问题以来取得的重大进展进行了全面调查,重点介绍了不同的变式和方法,以及未来研究最有趣的方向。