Workshop on Self-Optimizing Systems; April 19-21, 2010; Sante Fe, New Mexico

自优化系统研讨会；

• 批准号: 1006319
• 负责人: Abhijit Deshmukh
• 金额: $ 5万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-02-15 至 2012-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1006319&HistoricalAwards=false
• 关键词: Workshop; Self; Optimizing; Systems; April

The objective of this grant is to conduct a workshop that brings together leading researchers from around the world, specializing in mathematics, operations research, economics, computer science, engineering, cognitive sciences, psychology, and other fields, to discuss fundamental scientific issues in creating Self-Optimizing Systems (SOS). The goal of this workshop is to formulate a cross-disciplinary research agenda to develop fundamental understanding and create a knowledge base for the design and control of SOS that are robust to unexpected failures or unplanned events. This workshop is expected enhance the fundamental knowledge base for SOS by promoting key advances in theoretical foundations and self-optimization approaches. If successful, this workshop will lead to the creation of a coherent scientific basis for research in SOS. This workshop will result in the development of a common set of theoretical frameworks, tool and technologies that would be available to a broad range of users to design next generation of engineered systems that can self-organize and perform efficiently in uncertain environments. These common principles and tools would allow coordinated self-organization at different levels of a system. This workshop will enhance our ability to address societal issues, for example managing large-scale infrastructure systems such as energy grid and water, and predicting natural-social phenomenon such as climate change, that result from complex interactions among large number of coupled natural and human sub-systems.

这笔赠款的目的是举办一个研讨会，将来自世界各地的领先研究人员汇集在一起​​，专门研究数学，运营研究，经济学，计算机科学，工程，工程，认知科学，心理学和其他领域，讨论创建自我计算系统（SOS）（SOS）的基本科学问题。该研讨会的目的是制定跨学科的研究议程，以发展基本的理解，并为SOS的设计和控制创造知识库，这些SOS对意外失败或计划外事件具有强大的态度。 预计该研讨会可以通过促进理论基础和自我优化方法的关键进展来增强SOS的基本知识库。如果成功，该研讨会将导致创建SOS研究的连贯的科学基础。 该研讨会将导致开发一组通用的理论框架，工具和技术，这些框架，工具和技术将为广泛的用户使用，以设计可以在不确定的环境中自我组织和有效执行的下一代工程系统。这些常见的原理和工具将允许在系统的不同级别上进行协调的自组织。该研讨会将增强我们解决社会问题的能力，例如管理大规模的基础设施系统，例如能量网格和水，并预测自然社会现象，例如气候变化，这是由于大量耦合的天然和人类子系统之间的复杂相互作用而导致的。