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

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:
$5.0万
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
项目状态:
已结题
起止时间:
2010-02-15 至 2012-01-31

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中文摘要
翻译
这笔赠款的目的是举办一个研讨会,汇聚来自世界各地的顶尖研究人员,他们专门从事数学、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研究,讨论创建自我优化系统(SOS)的基本科学问题。这次研讨会的目标是制定一个跨学科的研究议程,以加深对基本知识的理解,并为设计和控制对意外故障或计划外事件具有健壮性的SOS创建一个知识库。预计这次讲习班将通过促进在理论基础和自我优化方法方面的关键进展来加强SOS的基本知识基础。如果成功,这一讲习班将为在SOS的研究创造一个连贯的科学基础。这次研讨会将导致开发一套共同的理论框架、工具和技术,供广大用户设计能够在不确定环境中自组织和高效运行的下一代工程系统。这些共同原则和工具将允许在系统的不同级别进行协调的自我组织。这次研讨会将提高我们解决社会问题的能力,例如管理能源电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,这些现象是由大量相互耦合的自然和人类子系统之间的复杂相互作用造成的。
英文摘要
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.
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