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  • 标题:Antifragility analysis and measurement framework for systems of systems
  • 本地全文:下载
  • 作者:John Johnson ; John Johnson ; Adrian V. Gheorghe
  • 期刊名称:International Journal of Disaster Risk Science
  • 印刷版ISSN:2095-0055
  • 电子版ISSN:2192-6395
  • 出版年度:2013
  • 卷号:4
  • 期号:4
  • 页码:159-168
  • DOI:10.1007/s13753-013-0017-7
  • 语种:English
  • 出版社:Springer
  • 摘要:Abstract The twenty-first century is defined by the social and technical hazards we face. A hazardous situation is a condition, or event, that threatens the well-being of people, organizations, societies, environments, and property. The most extreme of the hazards are considered X-Events and are an exogenous source of extreme stress to a system. X-Events can also be the unintended outputs of a system with both positive (serendipitous) and negative (catastrophic) consequences. Systems can vary in their ability to withstand these stress events. This ability exists on a continuum of fragility that ranges from fragile (degrading with stress), to robust (unchanged by stress), to antifragile (improving with stress). The state of the art does not include a method for analyzing or measuring fragility. Given that “what we measure we will improve,” the absence of a measurement approach limits the effectiveness of governance in making our systems less fragile and more robust if not antifragile. The authors present an antifragile system simulation model, and propose a framework for analyzing and measuring antifragility based on system of systems concepts. The framework reduces a multidimensional concept of fragility into a two-dimensional continuous interval scale.
  • 关键词:KeywordsEncomplex adaptive systems engineeringextreme eventsgovernancesmart gridssystem of systemsX-Events
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