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动态事件中的过渡:2020年闪电综合体在北加利福尼亚州发生火灾,作为适应性系统
1Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA.
概括
在不断升级的危机期间,网络开发了一个合成智能功能,以管理复杂的过渡. 这种全系统的情报帮助决策者在极端事件期间在大规模的操作系统.
科学领域:
- 组织理论是组织理论.
- 系统理论是系统理论.
- 网络分析 网络分析
- 协作式治理 协作式治理 协作式治理 协作式治理
背景情况:
- 组织理论家长期以来一直在努力解决系统如何在保持连贯性的情况下过渡到更大,更复杂的层面.
- 迅速升级的危机对组织的适应能力和连贯性提出了独特的挑战.
研究的目的:
- 探索网络如何在不断升级的危机中适应.
- 调查在网络中合成情报功能的出现,以支持协调行动.
主要方法:
- 借鉴系统理论,网络分析和协作治理.
- 利用2020年圣克拉拉单位闪电综合体火灾的案例研究.
- 从事件报告 (加利福尼亚州林业和防火部门) 中分析现场操作数据.
- 开发一个系统动态模型.
主要成果:
- 在危机期间,在网络中出现合成智能功能.
- 这个功能是由各种类型的智能提供信息的.
- 合成智能功能影响在动态条件下操作系统的变化速度.
结论:
- 对于面临极端事件的决策者来说,全系统综合智能功能至关重要.
- 这一功能有助于有效预测大型操作系统中复杂的转变.
- 了解这种功能可以提高在危机期间管理组织复杂性的能力.
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