Department of Mathematical Sciences, University of Liverpool, L69 7ZL, UK.
Biosystems. 2022 Sep;219:104731. doi: 10.1016/j.biosystems.2022.104731. Epub 2022 Jun 30.
One of the fundamental problems of contemporary history is to understand the processes governing the rise and fall of polities. The universality of boom-and-bust dynamics associated with the life-cycle of polities tempts to treat the problem mathematically and thus brings it to the framework of cliodynamics. Here we introduce a mathematical model of evolving polity under assumption that its evolution is associated with interactions of certain groups of people, forming the polity and differing by their psycho-ethic characteristics. The model is given in terms of ordinary differential equations and the bust dynamics associated with the rise and fall of polities is modelled as an excitation process, which is the non-linear phenomenon, well known in mathematical biology. We consider the deterministic as well as the stochastic version of the model which we fit to the time-scale of civilization's lifespan. We also expand the model to study interaction between two evolving polities. Investigation is performed using analytical methods as well as numerical integration (i.e. MATLAB simulation).
当代历史的一个基本问题是理解政治兴衰的过程。与政治生命周期相关的繁荣与萧条动态的普遍性使得人们试图用数学方法来处理这个问题,并将其纳入 cliodynamics 的框架。在这里,我们引入了一个在假设下的政体进化的数学模型,即其进化与形成政体的某些人群的相互作用有关,这些人群因其心理伦理特征而不同。该模型是以常微分方程的形式给出的,并且与政治兴衰相关的萧条动态被建模为一个激发过程,这是数学生物学中众所周知的非线性现象。我们考虑了模型的确定性和随机版本,我们将其拟合到文明寿命的时间尺度上。我们还扩展了模型来研究两个不断发展的政体之间的相互作用。研究使用了分析方法以及数值积分(即 MATLAB 模拟)。