Symmetry and Historicity in the Game of Life: Modifying Rules to Simulate Evolutionary Dynamics

Symmetry Pub Date : 2024-08-11 DOI:10.3390/sym16081024
Jovan M. Tadić, Andrej Korenić, Slobodan Perović
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Abstract

The Game of Life (GoL) is a paradigmatic computer simulation that exhibits the emergence of complex properties of the whole from relatively simple sets of heuristic rules operating at lower organizational levels. Therefore, it is widely understood as a valuable tool for investigating global properties of evolutionary processes. Cognizant of refined concepts that emerged in recent debates on the central role of historical contingency (historicity) in evolution, we modify the original GoL rules by introducing an updating feedback loop and a probability factor that reflect the degree of historicity in pattern evolution as both stochastic path dependence and sensitivity to initial conditions. We examine this trait in simulations of the emergence and breaking of bilateral and radial symmetries commonly observed in the evolution of life, most prominently as evolving body plans. We show that the implementation of historicity parameters leads to a more realistic sequential and gradual alternating emergence and the breaking of new symmetries than the original set of rules. Apart from its more realistic representations of evolutionary processes, the new approach allows for easier exploration of the parameter space, demonstrates the sequential and gradual emergence and breaking of symmetries, and provides a publicly available and modular simulation tool. We discuss the exploratory potential of the modified GoL platform we designed as an extended thought experiment to study the parameter space defining the historicity of biological processes.
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生命游戏中的对称性和历史性:修改规则以模拟进化动态
生命游戏(GoL)是一种典型的计算机模拟游戏,它展示了在较低组织层次上运行的相对简单的启发式规则集合所产生的复杂的整体特性。因此,它被广泛认为是研究进化过程整体特性的重要工具。考虑到最近关于历史偶然性(历史性)在进化中的核心作用的辩论中出现的精炼概念,我们通过引入一个更新反馈回路和一个概率因子来修改原始的 GoL 规则,以反映模式进化中的历史性程度,即随机路径依赖性和对初始条件的敏感性。我们在模拟生命进化过程中常见的双边和径向对称性的出现和打破时检验了这一特性,其中最突出的是不断进化的身体计划。我们发现,与原始规则集相比,历史性参数的实施导致了更真实的顺序和渐进交替出现以及新对称性的打破。除了更真实地表现进化过程外,新方法还能更容易地探索参数空间,展示对称性的顺序和渐进交替出现和打破,并提供一个公开可用的模块化模拟工具。我们讨论了修改后的 GoL 平台的探索潜力,该平台是我们设计的一个扩展思想实验,用于研究定义生物过程历史性的参数空间。
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