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On Soliton Collisions between Localizations in Complex Elementary Cellular Automata: Rules 54 and 110 and Beyond

机译:关于复杂基本细胞自动机中局部化之间的孤子碰撞:规则54和110及以后

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In this paper, a single-soliton two-component cellular automaton (CA) model of waves is presented as mobile self-localizations, also known as particles, waves, or gliders, in addition to its version with memory. The model is based on coding sets of strings where each chain represents a unique mobile self-localization. The original soliton models in CAs proposed with filter automata are briefly discussed, followed by solutions in elementary CAs (ECAs) domain with the famous universal ECA rule 110, and reporting a number of new solitonic collisions in ECA rule 54. A mobile self-localization in this study is equivalent to a single soliton because the collisions of the mobile self-localizations studied in this paper satisfy the property of solitonic collisions. A specific ECA with memory (ECAM), the ECAM rule φ(_R9maj:4), is also presented; it displays single-soliton solutions from any initial codification (including random initial conditions) for a kind of mobile self-localization because such an automaton is able to adjust any initial condition to soliton structures.
机译:在本文中,除了具有记忆的版本之外,波的单孤子二元细胞自动机(CA)模型还被表示为移动自定位,也称为粒子,波或滑翔机。该模型基于字符串的编码集,其中每个链代表唯一的移动自定位。简要讨论了使用过滤器自动机提出的CA中的原始孤子模型,然后讨论了具有著名的通用ECA规则110的基本CA(ECA)域中的解决方案,并报告了ECA规则54中的许多新的孤子碰撞。移动自定位本研究中的等价于单个孤子,因为本文研究的移动自定位的碰撞满足了孤子碰撞的性质。还介绍了一个带有内存的特定ECA(ECAM),即ECAM规则φ(_R9maj:4);它显示了来自任何初始编码(包括随机初始条件)的单孤子解,用于一种移动自定位,因为这种自动机能够将任何初始条件调整为孤子结构。

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  • 来源
    《Complex Systems》 |2012年第2期|p.117-142|共26页
  • 作者单位

    Departamento de Ciencias e Ingenieria de la Computation Escuela Superior de Computo, Instituto Politecnico National, Mexico and Unconventional Computing Center, Bristol Institute of Technology University of the West of England, Bristol BS16 1QY, United Kingdom;

    Unconventional Computing Center, Bristol Institute of Technology University of the West of England, Bristol BS16 1QY, United Kingdom;

    School of Sciences, Hangzhou Dianzi University Hangzhou, Zhejiang 310018, P. R. China;

    Electrical Engineering and Computer Sciences Department University of California at Berkeley, California, United States of America;

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