Collaborative Research: SOTERIA: Satisfaction and Risk-aware Dynamic Resource Orchestration in Public Safety Systems

合作研究：SOTERIA：公共安全系统中的满意度和风险意识动态资源编排

• 批准号: 2319995
• 负责人: Sajal Das
• 金额: $ 29.98万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2319995&HistoricalAwards=false
• 关键词: Collaborative; Research; SOTERIA; Satisfaction; Risk

Public Safety Systems (PSS) deal with victims, first responders, and emergency control centers (ECCs) that coordinate the rescue missions during and aftermath of a disaster. Currently, there is limited understanding of how humans make decisions to utilize personal and shared resources in the wake of disasters; moreover, the existing models are mostly qualitative. Limited information availability in disaster scenarios and resource uncertainty in PSSs pose two major challenges: (1) how to achieve the victims’ satisfaction accounting for their risk-aware (autonomous) decision-making characteristics about dynamic resource orchestration? and (2) how to design a resilient disaster response system incentivizing the victims’ participation in crowdsourcing? The innovative SOTERIA project addresses these challenges by proposing a novel behavioral decision-making model that captures humans’ decision-making characteristics under risk, stemming from uncertain availability of resources. It introduces a new field in game theory, called Satisfaction Games that aims to satisfy the victims’ minimum service requirements rather than maximizing their overall satisfaction, addressing the resource management problems in PSSs. A novel bio-inspired Disaster Response Network (DRN) is also proposed that mimics the inherent robustness of biological networks of living organisms, to support the victims’ participation in reliable crowdsourcing, while the truthfulness and quality of the collected information are evaluated based on the newly invented Bayesian Prospect Theory. The proposed methods and the system will be evaluated using real-world field data. The SOTERIA project will create new distributed control, optimization, and scalable resource management techniques in PSSs. The novelty lies in the integrated approach to efficiently managing resources considering human behavior and Tragedy of the Commons phenomena about shared resources, thus enhancing the victim’s satisfaction instead of utility maximization. To deal with incomplete information about resource availability, the proposed reinforcement learning techniques will enhance the victim’s decision-making capability in real time. Research outcomes of this project have tremendous potential for supporting ECC activities and saving peoples’ lives and infrastructures during and after disasters, by designing robust situation-aware disaster response networks and advancing state of the art research in Prospect Theory, Tragedy of the Commons, and Satisfaction Games. The project will train undergraduate and graduate students and the research findings will be disseminated via a project website and high-quality publications.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.

公共安全系统（PSS）处理受害者，第一响应者和紧急控制中心（ECC），协调灾难期间和灾难后的救援任务。目前，人们对灾害发生后人类如何决定利用个人和共享资源的了解有限;此外，现有的模型大多是定性的。灾难场景中有限的信息可用性和PSS中的资源不确定性提出了两个主要挑战：（1）如何实现受害者的满意度，占他们的风险意识（自主）的动态资源编排的决策特征？以及（2）如何设计一个有弹性的灾害响应系统，激励受害者参与众包？创新的SOTERIA项目通过提出一种新颖的行为决策模型来应对这些挑战，该模型捕捉了人类在风险下的决策特征，这些风险源于资源的不确定性。它引入了博弈论的一个新领域，称为满意度游戏，旨在满足受害者的最低服务要求，而不是最大限度地提高他们的整体满意度，解决PSS中的资源管理问题。一种新的生物启发的灾害响应网络（DRN）也提出了模仿生物网络的固有鲁棒性的活有机体，支持受害者的参与可靠的众包，而收集的信息的真实性和质量进行评估的基础上新发明的贝叶斯前景理论。所提出的方法和系统将使用真实世界的现场数据进行评估。SOTERIA项目将在PSS中创建新的分布式控制、优化和可扩展的资源管理技术。新颖之处在于综合的方法，有效地管理资源，考虑人类的行为和悲剧的公地现象共享资源，从而提高受害者的满意度，而不是效用最大化。为了处理关于资源可用性的不完全信息，所提出的强化学习技术将提高受害者的决策能力在真实的时间。本项目的研究成果具有巨大的潜力，通过设计强大的情况感知灾害响应网络和推进前景理论、公地悲剧和满意度游戏的最新研究，支持ECC活动，在灾害期间和灾害之后拯救人们的生命和基础设施。该项目将培训本科生和研究生，研究成果将通过项目网站和高质量出版物传播。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。