A Comprehensive Taxonomy of Cellular Automata

Michiel Rollier, Kallil M. C. Zielinski, Aisling J. Daly, Odemir M. Bruno, Jan M. Baetens
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Abstract

Cellular automata (CAs) are fully-discrete dynamical models that have received much attention due to the fact that their relatively simple setup can nonetheless express highly complex phenomena. Despite the model's theoretical maturity and abundant computational power, the current lack of a complete survey on the 'taxonomy' of various families of CAs impedes efficient and interdisciplinary progress. This review paper mitigates that deficiency; it provides a methodical overview of five important CA 'families': asynchronous, stochastic, multi-state, extended-neighbourhood, and non-uniform CAs. These five CA families are subsequently presented from four angles. First, a rigorous mathematical definition is given. Second, we map prominent variations within each CA family, as such highlighting mathematical equivalences with types from other families. Third, we discuss the genotype and phenotype of these CA types by means of mathematical tools, indicating when established tools break down. Fourth, we conclude each section with a brief overview of applications related to information theory and mathematical modelling.
细胞自动机综合分类法
细胞自动机(CA)是一种完全离散的动力学模型,由于其相对简单的设置却能表达高度复杂的现象,因而备受关注。尽管该模型理论成熟、计算能力强大,但目前缺乏对 CA 各族 "分类 "的完整调查,这阻碍了高效的跨学科研究进展。本综述论文弥补了这一不足;它有条不紊地概述了五个重要的 CA "族":异步、随机、多状态、扩展邻域和非均匀 CA。随后从四个角度介绍了这五个 CA 系列。首先,给出了严格的数学定义。其次,我们绘制了每个 CA 族的突出变体图,从而突出了与其他族类型的数学等价性。第三,我们通过数学工具讨论了这些 CA 类型的基因型和表型,并指出已有工具何时会失效。第四,我们在每节的最后简要概述了与信息论和数学建模相关的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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