Complex Systems Workshops

复杂系统研讨会

• 批准号: 0538768
• 负责人: William Rouse
• 金额: --
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0538768&HistoricalAwards=false
• 关键词: Complex; Systems; Workshops

FUNDAMENTALS OF COMPLEX ENGINEERED, ORGANIZATIONAL AND NATURAL SYSTEMSIt is proposed that a Workshop on Complex Systems be conducted to evaluate the various schools of thought on the topic of complex systems and reach consensus on terminology, concepts, and the nature of underlying fundamental issues. The workshop will bring together a carefully selected group of top experts on complex systems from a broad base of disciplines. It is expected that 65-75% of participants will be drawn from a broad base of engineering disciplines and 25-35% of participants will come from other disciplines working in complex systems. While most people will come from academia, selected participants will be recruited from industry and government. These experts, as well as other participants from various agencies, will both educate each other and help design the themes and content of the subsequent related activities. These outcomes will be detailed in a workshop report. The workshop will be conducted in Washington, DC to maximize opportunities for participation from NSF and other agencies.Examples of complexity in systems - including engineered, organizational and natural systems -- include ecosystems, the worldwide web, metabolic pathways, economic markets, spread of epidemics, and the nation's power grid. With such systems, decomposition and analysis of subsystems does not necessarily explain the behavior of the whole. Complex systems can display emergent behaviors, where they provide organization without intentionally designed-in organizing principles. There is a maturation and convergence, from many different fields of inquiry, of ideas relevant to complex systems and system engineering, for natural and engineered systems. We seek common principles, and unifying theories, as well as methods to analyze and synthesize such systems. Fundamental understanding of complex systems has the potential to explain and predict system behaviors, better engineer the design of these systems, and enable robust control of system responses. Such fundamental knowledge and skills will facilitate, for example, managing our environment for future generations, building infrastructure systems (e.g., power, transportation and information networks) that are not brittle and prone to collapse, developing systems to produce and deliver clean and abundant energy, and understanding and managing our vast global financial markets.

建议举办一次关于复杂系统的讲习班，以评估关于复杂系统专题的各种思想流派，并就术语、概念和基本基本问题的性质达成共识。 讲习班将汇集一批经过精心挑选的来自广泛学科的复杂系统方面的顶级专家。 预计65-75%的参与者将来自广泛的工程学科基础，25-35%的参与者将来自复杂系统中的其他学科。 虽然大多数人将来自学术界，但选定的参与者将从工业界和政府招募。 这些专家以及来自各机构的其他与会者将相互教育，并帮助设计随后相关活动的主题和内容。 研讨会报告将详细介绍这些成果。 研讨会将在华盛顿举行，以最大限度地增加NSF和其他机构参与的机会。系统复杂性的例子-包括工程系统、组织系统和自然系统-包括生态系统、万维网、代谢途径、经济市场、流行病的传播和国家电网。 对于这样的系统，子系统的分解和分析并不一定能解释整体的行为。 复杂系统可以表现出涌现的行为，它们提供组织，而不是故意设计的组织原则。 有一个成熟和收敛，从许多不同领域的调查，有关复杂系统和系统工程的想法，自然和工程系统。 我们寻求共同的原则，统一的理论，以及分析和综合这些系统的方法。 对复杂系统的基本理解有可能解释和预测系统行为，更好地设计这些系统，并实现系统响应的鲁棒控制。 例如，这些基本知识和技能将有助于为后代管理我们的环境，建立基础设施系统（例如，电力、交通和信息网络），开发生产和输送清洁和丰富能源的系统，以及理解和管理我们庞大的全球金融市场。