Turbulence -“群体运动”：复杂流的多主体自旋模型
Turbulence - "motion of multitude": a multi-agent spin model for complex flows
摘要：
我们提出了一个新的范式出现的宏观流动。后者被认为是由许多交换抽象信息的代理人创造的集体现象。信息交换导致代理人改变他们的相对位置，从而导致流动。这一范式旨在研究湍流的本质，诉诸于该词的原始含义：“湍流”象征着“群体的无序运动”。我们给出了一个实现范式的多智能体动力学模型的初步讨论。这种动力学让人想起了自旋眼镜和神经网络。该模型是关系型的，即。e.它假定没有时空背景，并可作为通过自旋模型接近量子引力的基础。
英文摘要：
We propose a new paradigm for emergence of macroscopic flows. The latter are considered as a collective phenomenon created by many agents that exchange abstract information. The information exchange causes agents to change their relative positions which results in a flow. This paradigm, aimed at the study of the nature of turbulence, appeals to the original meaning of the word: "turbulence" siginifies "disordered motions of crowds". We give a preliminary discussion on a model of multi-agent dynamics that realizes the paradigm. This dynamics is reminiscent of spin glasses and neural networks. The model is relational, i. e. it assumes no spatio-temporal background and may serve as a basis for an approach to quantum gravity via spin models.
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