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）与受害者，急救人员和紧急控制中心（ECC）打交道，该中心协调了灾难期间救援任务。当前，对人类在灾难后如何决定利用个人和共享资源的理解有限。而且，现有模型主要是定性的。 PSSS中灾难场景和资源不确定性中的信息可用性有两个主要挑战：（1）如何实现受害者对他们的风险意识（自主）（自主）决策特征的满意度？ （2）如何设计一种激励受害者参与众包的抵抗性灾难响应系统？创新的Soteria项目通过提出一种新型的行为决策模型来解决这些挑战，该模型捕获了人类在风险下的决策特征，这是由于不确定的资源可用性。它引入了游戏理论中的一个新领域，称为满意度游戏，旨在满足受害者的最低服务要求，而不是最大程度地提高其整体满意度，从而解决PSS中的资源管理问题。还提出了一个新颖的生物启发灾害响应网络（DRN），该网络模仿生物的生物学网络的继承鲁棒性，以支持受害者参与可靠的众群体，而基于新发明的贝耶斯前景理论的收集信息的真实性和质量是根据收集到的信息的。提出的方法和系统将使用现实世界中的字段数据进行评估。 Soteria项目将在PSSS中创建新的分布式控制，优化和可扩展的资源管理技术。新颖性在于，考虑到人类行为和共享资源的现象的人类行为和悲剧的有效管理资源的综合方法，从而增强了受害者的满意度，而不是公用事业的最大化。为了处理有关资源可用性的不完整信息，拟议的加强学习技术将实时增强受害者的决策能力。该项目的研究成果具有支持ECC活动并在灾难期间和之后挽救人们的生命和基础设施的巨大潜力，通过设计强大的情境意识到的灾难响应网络并推进前景理论中的最新研究状态，共同体的悲剧和满意度。该项目将培训本科生和研究生，研究结果将通过项目网站和高质量的出版物进行传播。该奖项反映了NSF的法定任务，并被认为使用基金会的知识分子和更广泛的影响评估标准，被认为是通过评估来获得的支持。