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ShanghaiTech University Knowledge Management System
Incentives for Early Arrival in Cooperative Games | |
2024 | |
会议录名称 | PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, AAMAS |
ISSN | 1548-8403 |
卷号 | 2024-May |
页码 | 651-659 |
发表状态 | 已发表 |
摘要 | We study cooperative games where players join sequentially, and the value generated by those who have joined at any point must be irrevocably divided among these players. We introduce two desiderata for the value division mechanism: that the players should have incentives to join as early as possible, and that the division should be considered fair. For the latter, we require that each player's expected share in the mechanism should equal her Shapley value if the players' arrival order is uniformly at random. When the value generation function is submodular, allocating the marginal value to the player satisfies these properties. This is no longer true for more general functions. Our main technical contribution is a complete characterization of 0-1 value games for which desired mechanisms exist. We show that a natural mechanism, Rewarding First Critical Player (RFC), is complete, in that a 0-1 value function admits a mechanism with the properties above if and only if RFC satisfies them; we analytically characterize all such value functions. Moreover, we give an algorithm that decomposes, in an online fashion, any value function into 0-1 value functions, on each of which RFC can be run. In this way, we design an extension of RFC for general monotone games, and the properties are proved to be maintained. © 2024 International Foundation for Autonomous Agents and Multiagent Systems. |
会议录编者/会议主办者 | Artificial Intelligence ; Autonomous Agents and Multi-Agent Systems ; et al. ; NSF ; University of Auckland ; University of Auckland, School of Computer Science |
关键词 | Autonomous agents Game theory Cooperative game Early arrival General functions Marginal values Online mechanism Property Shapley value Submodular Technical contribution Value functions |
会议名称 | 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024 |
会议地点 | Auckland, New zealand |
会议日期 | May 6, 2024 - May 10, 2024 |
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 | 20242516292759 |
EI主题词 | Multi agent systems |
EISSN | 1558-2914 |
EI分类号 | 922.1 Probability 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/395989 |
专题 | 信息科学与技术学院_博士生 信息科学与技术学院_PI研究组_赵登吉组 |
作者单位 | 1.Key Laboratory of Intelligent Perception and Human-Machine Collaboration, ShanghaiTech University, Shanghai, China; 2.Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics, Shanghai, 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 | Ge, Yaoxin,Zhang, Yao,Zhao, Dengji,et al. Incentives for Early Arrival in Cooperative Games[C]//Artificial Intelligence, Autonomous Agents and Multi-Agent Systems, et al., NSF, University of Auckland, University of Auckland, School of Computer Science:International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS),2024:651-659. |
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