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CPS: Small: High-Impact Decision Making Using Cyber-Physical Systems: A Distortion-Based Framework

CPS：小型：使用网络物理系统进行高影响力的决策：基于失真的框架

基本信息

批准号：
2150832
负责人：
Hossein Pishro-Nik
金额：
$ 49.76万
依托单位：
University of Massachusetts Amherst
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-06-01 至 2025-05-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150832&HistoricalAwards=false
关键词：
CPS Small Impact Decision Making

项目摘要

Many emerging cyber-physical systems (CPS) are composed of a network of autonomous agents that make high-impact decisions, for example, a network of robots or drones that are on a search and rescue (SAR) mission. Such systems are referred to as high-impact decision making cyber-physical systems (HI-CPS). This research aims at building a unified theoretical framework for HI-CPS and validating this framework by fully implementing and testing a concrete example of such systems, namely, a network of autonomous agents that search for a lost person in dire conditions. This research brings together concepts from probability theory, decision theory, information theory, wireless networks, machine learning, and transportation engineering. By definition, this research focuses on high-impact systems, and it can directly impact the design of important emerging real-life systems. Educational and outreach activities are well-integrated into the research and include developing an honors thesis seminar course, workshops for underrepresented groups, and creating open educational content. The research has two thrusts: In Thrust 1, a new general theory of decision making suitable for such high-impact decision making is developed. This is based on the novel idea that the very notion of probability is insufficient when we are making high-impact decisions. It is shown that the approach is a multi-dimensional generalization of expected utility. A universality result is proved showing that any other decision-making operation can be framed as a special case of the proposed approach, emphasizing the sufficiency of the approach. Thrust 2 focuses on extending the framework to include two vital factors in HI-CPS: (1) timeliness and efficiency of information transmission as well as (2) power management. Thus, HI-CPS is designed and developed by incorporating all of these factors into a decision-making framework. To validate the theory, a concrete example of HI-CPS, i.e., an SAR system using a network of autonomous agents is built and tested. This research directly addresses Science of Cyber-Physical Systems (CPS) by providing new models and theories that unify HI-CPS.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

许多新兴的网络物理系统（CPS）由自主代理网络组成，这些代理可以做出高影响力的决策，例如，执行搜索和救援（SAR）使命的机器人或无人机网络。这种系统被称为高影响决策网络物理系统（HI-CPS）。本研究旨在为HI-CPS建立一个统一的理论框架，并通过全面实施和测试此类系统的具体示例（即在恶劣条件下寻找失踪人员的自治代理网络）来验证该框架。这项研究汇集了概率论，决策论，信息论，无线网络，机器学习和运输工程的概念。根据定义，这项研究的重点是高影响力的系统，它可以直接影响重要的新兴现实生活系统的设计。教育和推广活动很好地融入了研究，包括开发荣誉论文研讨会课程，为代表性不足的群体举办研讨会，并创建开放的教育内容。研究有两个推力：在推力1，一个新的一般性的决策理论，适合这样的高影响决策的发展。这是基于一个新颖的想法，即当我们做出高影响决策时，概率的概念是不够的。结果表明，该方法是一个多维推广的期望效用。一个普适性的结果证明，任何其他的决策操作可以框架作为一个特殊的情况下，所提出的方法，强调该方法的充分性。重点2是扩展框架，以包括HI-CPS中的两个重要因素：（1）信息传输的及时性和效率以及（2）电源管理。因此，HI-CPS是通过将所有这些因素纳入决策框架来设计和开发的。为了验证该理论，一个具体的例子HI-CPS，即，构建并测试了使用自主代理网络的SAR系统。该研究通过提供统一HI-CPS的新模型和理论直接解决了信息物理系统科学（CPS）。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。