摘要翻译：
研究了动态环境下多Agent系统资源分配决策机制的设计。代理对资源的私人偏好随着时间的推移而演变，由于停止规则的采用，种群是动态的。该模型通过指定一个分配规则和三个支付规则，设计了参与动态机制的Agent的相遇规则，以引发Agent在多个周期内诚实偏好报告和最优停止的耦合决策。该机制提供了一个特殊的张贴价格支付规则，该规则只依赖于每个Agent实现的停止时间，直接影响种群动态。本文着重讨论了完美贝叶斯纳什均衡中规则的理论可实现性，并刻画了保证代理人在一定时期内诚实均衡行为的充要条件。我们提供了根据分配规则构造支付的设计原则，并确定了设计者影响人口动态的能力的限制。所建立的条件使设计者的问题寻找多个规则来确定一个最优分配规则。
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英文标题：
《Implementability of Honest Multi-Agent Sequential Decision-Making with
  Dynamic Population》
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作者：
Tao Zhang, Quanyan Zhu
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最新提交年份：
2020
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Systems and Control        系统与控制
分类描述：This section includes theoretical and experimental research covering all facets of automatic control systems. The section is focused on methods of control system analysis and design using tools of modeling, simulation and optimization. Specific areas of research include nonlinear, distributed, adaptive, stochastic and robust control in addition to hybrid and discrete event systems. Application areas include automotive and aerospace control systems, network control, biological systems, multiagent and cooperative control, robotics, reinforcement learning, sensor networks, control of cyber-physical and energy-related systems, and control of computing systems.
本部分包括理论和实验研究，涵盖了自动控制系统的各个方面。本节主要介绍利用建模、仿真和优化工具进行控制系统分析和设计的方法。具体研究领域包括非线性、分布式、自适应、随机和鲁棒控制，以及混合和离散事件系统。应用领域包括汽车和航空航天控制系统、网络控制、生物系统、多智能体和协作控制、机器人学、强化学习、传感器网络、信息物理和能源相关系统的控制以及计算系统的控制。
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一级分类：Computer Science        计算机科学
二级分类：Systems and Control        系统与控制
分类描述：cs.SY is an alias for eess.SY. This section includes theoretical and experimental research covering all facets of automatic control systems. The section is focused on methods of control system analysis and design using tools of modeling, simulation and optimization. Specific areas of research include nonlinear, distributed, adaptive, stochastic and robust control in addition to hybrid and discrete event systems. Application areas include automotive and aerospace control systems, network control, biological systems, multiagent and cooperative control, robotics, reinforcement learning, sensor networks, control of cyber-physical and energy-related systems, and control of computing systems.
cs.sy是eess.sy的别名。本部分包括理论和实验研究，涵盖了自动控制系统的各个方面。本节主要介绍利用建模、仿真和优化工具进行控制系统分析和设计的方法。具体研究领域包括非线性、分布式、自适应、随机和鲁棒控制，以及混合和离散事件系统。应用领域包括汽车和航空航天控制系统、网络控制、生物系统、多智能体和协作控制、机器人学、强化学习、传感器网络、信息物理和能源相关系统的控制以及计算系统的控制。
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一级分类：Economics        经济学
二级分类：Theoretical Economics        理论经济学
分类描述：Includes theoretical contributions to Contract Theory, Decision Theory, Game Theory, General Equilibrium, Growth, Learning and Evolution, Macroeconomics, Market and Mechanism Design, and Social Choice.
包括对契约理论、决策理论、博弈论、一般均衡、增长、学习与进化、宏观经济学、市场与机制设计、社会选择的理论贡献。
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英文摘要：
  We study the design of decision-making mechanism for resource allocations over a multi-agent system in a dynamic environment. Agents' privately observed preference over resources evolves over time and the population is dynamic due to the adoption of stopping rules. The proposed model designs the rules of encounter for agents participating in the dynamic mechanism by specifying an allocation rule and three payment rules to elicit agents' coupled decision makings of honest preference reporting and optimal stopping over multiple periods. The mechanism provides a special posted-price payment rule that depends only on each agent's realized stopping time to directly influence the population dynamics. This letter focuses on the theoretical implementability of the rules in perfect Bayesian Nash equilibrium and characterizes necessary and sufficient conditions to guarantee agents' honest equilibrium behaviors over periods. We provide the design principles to construct the payments in terms of the allocation rules and identify the restrictions of the designer's ability to influence the population dynamics. The established conditions make the designer's problem of finding multiple rules to determine an optimal allocation rule.
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PDF链接：
https://arxiv.org/pdf/2003.03173