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Explaining Natural Patterns Using Systems Thinking

机译:用系统思维解释自然模式

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Patterns in nature are common, from zebra stripes to geese flying in V-formations to the nautilus’s spiral. In systems, the presence of a pattern indicates that there are several factors acting in feedback loops; those feedback loops are, in turn, caused by underlying laws or forces such as gravity, electrostatic attraction/repulsion, friction, surface tension, fluid shear, chemical potential, pheromones, and aerodynamic lift. The feedback loops cause the systems to oscillate and the oscillation is interpreted as an emergent pattern. Systems Thinking (specifically the Iceberg Model and causal loops) may be used to explain natural patterns. Understanding what causes natural patterns may help us to influence them, but more importantly, to translate that knowledge to the design and improvement of human-based systems.
机译:大自然中的图案很常见,从斑马条纹到以V型飞行的鹅到鹦鹉螺的螺旋。在系统中,模式的存在表明有几个因素在反馈回路中起作用。这些反馈回路依次由基本定律或力引起,例如重力,静电吸引/排斥,摩擦,表面张力,流体剪切,化学势,信息素和空气动力学升力。反馈回路导致系统振荡,振荡被解释为紧急模式。系统思维(特别是Iceberg模型和因果循环)可用于解释自然模式。了解导致自然模式的原因可能有助于我们影响自然模式,但更重要的是,将自然知识转化为基于人的系统的设计和改进。

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