POWRE: Mathematical Modeling of Multi-Agent Systems

POWRE：多智能体系统的数学建模

• 批准号: 0074790
• 负责人: Kristina Lerman
• 金额: $ 6.8万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0074790&HistoricalAwards=false
• 关键词: POWRE; Mathematical; Modeling; Multi; Agent

EIA-0074790Lerman, KristinaUniversity of Southern CaliforniaPOWRE: Mathematical Modeling of Multi-Agent SystemsThis POWRE proposal outlines a novel physics-based approach to solving computer science problems. The proposed activity leverages the author's training in physics, particularly the physics of complex systems, and applies to the study of multi-agent systems. The goal of the research is to propose a feasible mechanism in which interactions between agents with simple local strategies lead to desirable group behavior in each of the two domains: coalition formation in a multiagent system and dynamic routing in a sensor network. The proposed mechanism is then analyzed and a mathematical model of the process is constructed. The model is expressed as a series of coupled differential equations. For the coalition formation problem, for instance, the model describes how the number and distribution of coalitions change with time. The solutions of the equations describe collective behavior, and they can be analyzed for different values of the parameters.

EIA-0074790Lerman，南加州大学POWRE：多智能体系统的数学建模这个POWRE提案概述了一种解决计算机科学问题的新的基于物理的方法。拟议的活动利用了作者在物理学方面的培训，特别是复杂系统的物理学，并适用于多智能体系统的研究。该研究的目的是提出一种可行的机制，在该机制中，采用简单的局部策略的代理之间的交互可以在多代理系统中的联盟形成和传感器网络中的动态路由这两个领域中的每一个领域产生理想的群体行为。然后对所提出的机理进行了分析，并建立了过程的数学模型。该模型被表示为一系列耦合的微分方程组。例如，对于联盟形成问题，该模型描述了联盟的数量和分布如何随时间变化。方程的解描述了集体行为，并且可以针对不同的参数值进行分析。