一个动态的社会复杂性和弹性网络模型,灵感来自泰恩特的崩理论
Florian Schunck1,2, Marc Wiedermann3, Jobst Heitzig3
1Research Group System Ecotox, Helmholtz Centre for Environmental Research GmbH-UFZ, Permoserstraße 15, 04318 Leipzig, Germany.
Entropy (Basel, Switzerland)
|February 23, 2024
概括
由解决问题驱动的社会复杂性可能会导致崩. 应对全球压力的复杂性增加使得社会不稳定性更有可能出现,正如网络代理模型所示.
科学领域:
- 社会科学 社会科学 社会科学
- 复杂性科学是一门复杂性科学.
- 社会学 社会学 社会学
背景情况:
- 流行病和地缘政治紧张局势等全球事件暴露了社会脆弱性.
- 了解社会崩的驱动因素对于性至关重要.
- 约瑟夫·泰恩特的理论表明,社会复杂性投资的回报正在减少.
研究的目的:
- 识别和说明社会不稳定和崩的潜在驱动因素.
- 模拟社会复杂性的动态及其与崩的联系.
- 用一种风格化的模型来测试泰恩特关于社会崩的理论.
主要方法:
- 开发了一个低维,风格化的网络代理 (工人和管理员) 的模型.
- 数字化模拟的社会复杂性是管理人员影响劳动者生产率的比例.
- 提供了一个分析近似来补充数值实验.
主要成果:
- 随着应对外部压力的复杂性增加,社会崩的可能性越来越大.
- 模型动态与分析近似一致,验证了方法.
- 网络链接密度,社会流动性和生产力影响崩动态.
结论:
- 作为对冲击的反应,社会复杂性的增加可以创建一个自我强化的反循环,导致崩.
- 该研究提供了基于过程的社会生态崩的理解.
- 调查结果强调了不受控制的社会复杂性的潜在风险.
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