Dipartimento Di Ingegneria Industriale E Dell'Informazione, Università Di Pavia, 27100, Pavia, Italy.
Theory Biosci. 2023 Sep;142(3):291-299. doi: 10.1007/s12064-023-00401-4. Epub 2023 Jul 29.
This work concerns a many-body deterministic model that displays life-like properties such as emergence, complexity, self-organization, self-regulation, excitability and spontaneous compartmentalization. The model portraits the dynamics of an ensemble of locally coupled polar phase oscillators, moving in a two-dimensional space, that under certain conditions exhibit emergent superstructures. Those superstructures are self-organized dynamic networks, resulting from a synchronization process of many units, over length scales much greater than the interaction range. Such networks compartmentalize the two-dimensional space with no a priori constraints, due to the formation of porous transport walls, and represent a highly complex and novel non-linear behavior. The analysis is numerically carried out as a function of a control parameter showing distinct regimes: static pattern formation, dynamic excitable networks formation, intermittency and chaos. A statistical analysis is drawn to determine the control parameter ranges for the various behaviors to appear. The model and the results shown in this work are expected to contribute to the field of artificial life.
这项工作涉及一种多体确定性模型，它具有生命般的特性，如涌现、复杂性、自组织、自我调节、兴奋和自发分区。该模型描绘了一组局部耦合极相振荡器的动力学，这些振荡器在二维空间中移动，在某些条件下表现出涌现的超结构。这些超结构是自组织的动态网络，是由许多单元的同步过程产生的，其尺度远远大于相互作用范围。由于多孔输运壁的形成，这些网络在没有先验约束的情况下对二维空间进行分区，代表了一种高度复杂和新颖的非线性行为。分析是作为一个控制参数的函数进行的，该参数显示出不同的状态：静态模式形成、动态可兴奋网络形成、间歇和混沌。进行了统计分析，以确定出现各种行为的控制参数范围。这项工作中展示的模型和结果有望为人工生命领域做出贡献。
