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When Feedback Loops Collide: A Complex Adaptive Systems Approach to Modeling Human and Nature Dynamics

机译:当反馈循环碰撞时:一种复杂的自适应系统,可以建模人和自然动态

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In the context of sustainable development, complex adaptive systems frameworks can help address the coupling of macro social, environmental and economic constraint and opportunity with individual agency. Using a simple evolutionary game approach, we fuse endogenously derived socio-economic system dynamics from human and nature dynamics (HANDY) theory with Prisoner's Dilemma spatial intra-societal economic transactions. We then create a new human and nature dynamics agent based model to explore technological progression on population dynamics, economic development, social inequality and use of resources. We investigate the impact of technology proliferation on communications ease and the resulting compression of social space on individual wealth and societal sustainability. Our initial result shows complex adaptive or evolutionary systems approaches are necessary to understand both near and potentially catastrophic, far-from-equilibrium behavior and societal outcomes across all scales of human behavior and dynamics.
机译:在可持续发展的背景下,复杂的自适应系统框架可以帮助解决宏观社会,环境和经济限制和个人机构的机遇的耦合。使用简单的进化游戏方法,我们融合了人类和自然动态(方便)理论的内源性推导了社会经济系统动态,与囚犯的困境空间内部经济交易。然后,我们创建了基于新的人类和自然动态代理的模型,探讨了人口动态,经济发展,社会不平等和资源利用的技术进步。我们调查技术扩散对通信缓解的影响,并导致社会空间对个人财富和社会可持续性的影响。我们的初始结果显示了复杂的自适应或进化系统方法,以了解近乎和潜在的灾难性,远离均衡行为以及在人类行为和动态方面的所有尺度上的社会结果。

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