The Study of One-Dimensional Cellular Automata with Nearest-Nearest Neighborhoods

Shaowei Shen, J. Guan
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引用次数: 1

Abstract

In this paper, we deal with the global equivalence classification of one-dimensional cellular automata (CA) with nearest-nearest neighborhoods. We present a theoretical classification of all rules through the two homeomorphisms identified in [1]. we demonstrate the 30 global equivalence classes of 64 additive rules, and show that in the same equivalence class they have the same number of independent connected component(s) for any L (number of cells). Furthermore, basing on this platform, we also explore the global equivalence class of totalistic rule 20 and 52, which are reputedly capable of highly complex dynamical behaviors and belong to Wolfram’s class IV. It is worth mentioning that the classification method we have presented are actually applicable to one-dimensional CA with any neighborhood radius.
具有最近邻的一维元胞自动机的研究
本文研究具有最近邻的一维元胞自动机(CA)的全局等价分类问题。我们通过[1]中确定的两个同胚提出了所有规则的理论分类。我们证明了具有64个可加性规则的30个全局等价类,并证明了在同一等价类中,对于任意L(单元数),它们具有相同数量的独立连通分量。此外,基于该平台,我们还探索了总体规则20和52的全局等价类,据称它们具有高度复杂的动态行为,属于Wolfram的第IV类。值得一提的是,我们提出的分类方法实际上适用于具有任何邻域半径的一维CA。
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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