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，汇集来自世界各地数学、运筹学、经济学、计算机科学、工程学、认知科学、心理学和其他领域的顶尖研究人员，讨论创建自我优化系统 (SOS) 的基本科学问题。本次研讨会的目标是制定跨学科研究议程，以发展基本理解并为 SOS 的设计和控制创建知识库，以应对意外故障或意外事件。 本次研讨会预计将通过促进理论基础和自我优化方法的关键进展来增强 SOS 的基础知识基础。如果成功，本次研讨会将为 SOS 研究建立一个连贯的科学基础。 本次研讨会将开发一套通用的理论框架、工具和技术，供广大用户用来设计下一代工程系统，这些系统可以在不确定的环境中自组织和高效执行。这些通用原则和工具将允许系统不同级别的协调自组织。本次研讨会将提高我们解决社会问题的能力，例如管理能源网和水等大型基础设施系统，以及预测气候变化等自然社会现象，这些现象是由大量耦合的自然和人类子系统之间的复杂相互作用造成的。