ITR/NGS: Synthetic Environment for Continuous Experimentation

ITR/NGS：连续实验的合成环境

• 批准号: 0325846
• 负责人: Alok Chaturvedi
• 金额: $ 117.84万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325846&HistoricalAwards=false
• 关键词: ITR; NGS; Synthetic; Environment; Continuous

The study of bio-terror threats require a significant improvement in our capabilities to analyze the human response to an attack, both at the level of the citizens (mobility, infection, and the feeling of well-being) and at the level of responders and policy makers (coordination, control, planning, and policy formulation). This project will address these issues using a geography based synthetic environment with artificial and human agents. Computational models of artificial agents' position, mobility, infection-susceptibility and the state of well-being will be developed. Intuitive interfaces will be provided to human agents to carry out the complex coordination roles. Together, their behaviors will be used to analyze how a bio-terror attack may spread through the population and how its impact might be contained by different intervention strategies. We will use this platform to conduct new and innovative research. The results of such exercises will also be used to help develop, test, analyze, and implement public policies and operating procedures. Once implemented, the models will be extended to include coordination amongst responders in multiple jurisdictions and for multiple pathogens.An important aspect of the work is to develop an agent-based scalable software architecture for tera-scale, grid computing, and to virtually test the prorotype technology and it's effectiveness on heterogeneous resource availability environements requiring real-tim eresponse and heterogeneous platform assemblies comprising of diverse systems, such as GPS, wireless communications, and enabling decisionsupport during crisis situations.

生物恐怖威胁的研究需要我们的能力显着提高，以分析人类对攻击的反应，无论是在公民的水平（流动性，感染和幸福感），并在响应者和决策者的水平（协调，控制，规划和政策制定）。该项目将使用基于地理的人工和人类代理的合成环境来解决这些问题。人工代理的位置，流动性，感染易感性和福祉状态的计算模型将被开发。直观的界面将提供给人类代理执行复杂的协调角色。他们的行为将被用来分析生物恐怖袭击如何在人群中传播，以及不同的干预策略如何遏制其影响。我们将利用这个平台进行新的创新研究。这些活动的结果也将用于帮助制定、测试、分析和实施公共政策和操作程序。一旦实施，这些模型将被扩展到包括多个管辖区和多种病原体的响应者之间的协调。这项工作的一个重要方面是开发一个基于代理的可扩展软件架构，用于万亿级，网格计算，并虚拟测试原型技术及其在需要真实的异构资源可用性环境中的有效性时间响应和异构平台组件，包括不同的系统，如GPS，无线通信，并使决策支持在危机情况下。