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Topological Conjugacy Classification of Elementary Cellular Automata with Majority Memory

机译:大多数记忆中型蜂窝自动机的拓扑共轭分类

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The topological conjugacy classification of elementary cellular automata with majority memory (ECAMs) is studied under the framework of symbolic dynamics. In the light of the conventional symbolic sequence space, the compact symbolic vector space is identified with a feasible metric and topology. A slight change is introduced to present that all global maps of ECAMs are continuous functions, thereafter generating the compact dynamical systems. By exploiting two fundamental homeomorphisms in symbolic vector space, all ECAMs are furthermore grouped into 88 equivalence classes in the sense that different mappings in the same global equivalence are mutually topologically conjugate.
机译:在象征性动态框架下,研究了大多数记忆(ECAM)的基本蜂窝自动机的拓扑共轭分类。 鉴于传统符号序列空间,通过可行的度量和拓扑识别紧凑的符号矢量空间。 引入略有变化以显示ECAM的所有全球地图是连续功能,此后产生紧凑的动态系统。 通过在符号矢量空间中利用两个基本的同性恋,在同一全局等效性的不同映射是相互拓扑上缀合物的意义上,所有eNAM都进入了88等同类。

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