CAREER: Game Theoretic Methods for Multiagent Coordination

职业：多智能体协调的博弈论方法

• 批准号: 1351866
• 负责人: Jason Marden
• 金额: $ 40万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1351866&HistoricalAwards=false
• 关键词: CAREER; Game; Theoretic; Methods; Multiagent

A multiagent system can be characterized by a collection of interacting subsystems each making local decisions in response to local information. There are numerous examples of multiagent systems spanning both the engineering and social sciences, e.g., wind farms, surveillance systems, and transportation networks. Regardless of the specific domain, the primary goal in such systems is to design admissible mechanisms for coordinating the behavior of the individual subsystems to ensure that the emergent collective behavior is desirable with respect to a system-level objective. Intellectual Merit The overarching goal of this project is to develop game-theoretic methodologies for multiagent coordination with broad applicability to both social and engineering systems. In the context of social multiagent systems, this project will focus on the derivation of optimal mechanisms for coordinating the collective behavior in situations where the society's sensitivity to such mechanisms is unknown, e.g., taxation mechanisms on traffic networks. In the context of engineering multiagent systems, this project will focus on the derivation of (i) distributed control algorithms that guarantee that the multiagent systems exhibits the optimal correlated behavior and (ii) fundamental relationships pertaining to how informational patterns impact achievable performance guarantees in multiagent systems.Broader ImpactsA central goal on this project involves promoting the general understanding of multiagent systems to the engineering community and beyond. Undoubtedly, engineers will be responsible for the design of a wide array of multiagent systems with examples spanning all aspects of society. Successfully controlling such ?complex? systems requires that engineers be multi-disciplinary with a strong proficiency in both the engineering and social sciences. This project will seek to achieve this goal through direct interactions with K-12 students, public lectures, dissemination of course material at the intersection of social and engineering sciences, and direct interactions with industry to illustrate the applicability of the developed methodologies.

多基因系统的特征是，相互作用的子系统的集合每个都根据本地信息做出本地决策。有许多涵盖工程和社会科学的多种系统的例子，例如风电场，监视系统和运输网络。无论特定领域如何，此类系统的主要目标是设计可接纳的机制来协调各个子系统的行为，以确保相对于系统级目标，需要出现紧急的集体行为。 知识分子值得该项目的总体目标是开发游戏理论方法，用于对社会和工程系统的广泛适用性进行多项式协调。 在社会多基因系统的背景下，该项目将集中于在社会对这种机制敏感性的情况下，以协调集体行为的最佳机制，例如交通网络上的税收机制。 在工程多基因系统的背景下，该项目将重点放在（i）（i）分布式控制算法的推导上，这些算法确保多型系统表现出最佳的相关行为，并且（ii）与信息模式有关影响到可实现的性能的基本关系如何影响多亚特系统中的可实现性能保证了该项目的核心目标。 毫无疑问，工程师将负责设计各种各样的多种系统，其中包含社会各个方面的示例。成功控制了这样的复杂？系统要求工程师是多学科的，在工程学和社会科学方面都具有良好的熟练程度。该项目将寻求通过与K-12学生的直接互动，公开讲座，在社会和工程科学的交汇处传播课程材料以及与行业的直接互动以说明开发方法的适用性，以实现这一目标。