GHWS 模型的一些新成果

arXiv - PHYS - Disordered Systems and Neural Networks Pub Date : 2024-07-19 DOI:arxiv-2407.14318

Leonardo Reyes

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摘要

在此，我们概述了 GHWS 模型的一些新成果，这些成果指出了将参数空间离散化为分化良好的集体动力学状态的可能性。我们认为，这可以导致参数空间中的基本过程，从最小的建模成分开始：一个具有无序参数的复杂网络和其上的可激发动力学（细胞自动机）。

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Some new results for the GHWS model

Here we outline some new results for the GHWS model which points to a discretization of parameter space into well differentiated collective dynamic states. We argue this can lead to basic processes in parameter space, starting with minimum modelling ingredients: a complex network with a disorder parameter and an excitable dynamics (cellular automata) on it.

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arXiv - PHYS - Disordered Systems and Neural Networks

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