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

被引:2
作者
Yang, Zining [1 ,2 ]
Neal, Patrick deWerk [1 ]
Abdollahian, Mark [1 ]
机构
[1] Claremont Grad Univ, Claremont, CA 91711 USA
[2] La Sierra Univ, Riverside, CA 92505 USA
来源
ADVANCES IN APPLIED DIGITAL HUMAN MODELING AND SIMULATION | 2017年 / 481卷
关键词
Sustainable development; Complex adaptive systems; Population dynamics; Agent-based modeling; System dynamics; Game theory;
D O I
10.1007/978-3-319-41627-4_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:317 / 327
页数:11
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