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ShanghaiTech University Knowledge Management System
Cost Sharing under Private Valuation and Connection Control | |
2023 | |
会议录名称 | PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, AAMAS |
ISSN | 1548-8403 |
卷号 | 2023-May |
页码 | 2161-2169 |
发表状态 | 已发表 |
摘要 | We consider a cost sharing problem on a weighted undirected graph, where all the nodes want to connect to a special node called source, and they need to share the total cost (weights) of the used edges. Each node except for the source has a private valuation of the connection, and it may block others' connections by strategically cutting its adjacent edges to reduce its cost share, which may increase the total cost. We aim to design mechanisms to prevent the nodes from misreporting their valuations and cutting their adjacent edges. We first show that it is impossible for such a mechanism to further satisfy budget balance (cover the total cost) and efficiency (maximize social welfare). Then, we design two feasible cost sharing mechanisms that incentivize each node to offer all its adjacent edges and truthfully report its valuation, and also satisfy either budget balance or efficiency. © 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. |
会议录编者/会议主办者 | Artificial Intelligence Journal ; DeepMind ; et al. ; Huawei ; International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) ; National Science Foundation (NSF) |
关键词 | Autonomous agents Budget control Cost effectiveness Machine design Multi agent systems Undirected graphs Budget balance Connection control Cost shares Cost sharing Cost-sharing problems Design mechanisms Mechanism design Social welfare Truthfulness Weighted undirected graph |
会议名称 | 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 |
会议地点 | London, United kingdom |
会议日期 | May 29, 2023 - June 2, 2023 |
收录类别 | EI |
语种 | 英语 |
出版者 | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
EI入藏号 | 20233814743935 |
EI主题词 | Efficiency |
EISSN | 1558-2914 |
EI分类号 | 601 Mechanical Design ; 911.2 Industrial Economics ; 913.1 Production Engineering ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory |
原始文献类型 | Conference article (CA) |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/335596 |
专题 | 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_赵登吉组 信息科学与技术学院_博士生 |
作者单位 | 1.ShanghaiTech University, Shanghai, China; 2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China; 3.University of Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 上海科技大学 |
第一作者的第一单位 | 上海科技大学 |
推荐引用方式 GB/T 7714 | Zhang, Tianyi,Zhang, Junyu,Gu, Sizhe,et al. Cost Sharing under Private Valuation and Connection Control[C]//Artificial Intelligence Journal, DeepMind, et al., Huawei, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), National Science Foundation (NSF):International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS),2023:2161-2169. |
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