计算机科学
复杂系统
系统科学
忽视
宏
社会制度
信息级联
数据科学
风险分析(工程)
人工智能
心理学
社会心理学
精神科
程序设计语言
医学
作者
Dirk Helbing,Dirk Brockmann,Thomas Chadefaux,Karsten Donnay,Ulf Blanke,Olivia Woolley-Meza,Mehdi Moussaïd,Anders Johansson,Jens Krause,Sebastian Schutte,Matjaž Perc
标识
DOI:10.1007/s10955-014-1024-9
摘要
We discuss models and data of crowd disasters, crime, terrorism, war and disease spreading to show that conventional recipes, such as deterrence strategies, are often not effective and sufficient to contain them. Many common approaches do not provide a good picture of the actual system behavior, because they neglect feedback loops, instabilities and cascade effects. The complex and often counter-intuitive behavior of social systems and their macro-level collective dynamics can be better understood by means of complexity science. We highlight that a suitable system design and management can help to stop undesirable cascade effects and to enable favorable kinds of self-organization in the system. In such a way, complexity science can help to save human lives.
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