自动机网络的内在普遍性 II:粘合与小工具

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
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引用次数: 0

摘要

自动机网络(AN)是一种有限图,其中每个节点都持有有限字母表中的一个状态,并配有局部映射,定义了节点状态随邻近节点的演变。本文是 "内在普遍性 "系列的第二篇,"内在普遍性 "是指自动机族能够模拟任意的自动机。我们开发了一种证明技术来建立本征模拟和普遍性结果,这种技术适用于处理非定向连接的对称网络族。它基于网络的粘合操作,可以从小型网络中的兼容伪轨道生成大型网络中的复杂轨道。举例来说,我们给出了一个简短的证明,即每个节点都遵守 "生命游戏 "细胞自动机规则的网络族是强通用的。在本系列的第三篇论文中,我们将大量使用这种证明技术来展示具有特定更新时间表的各种族的内在普遍性结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intrinsic universality in automata networks II: Glueing and gadgets

An automata network (AN) is a finite graph where each node holds a state from a finite alphabet and is equipped with a local map defining the evolution of the state of the node depending on its neighbors. This paper is the second of a series about intrinsic universality, i.e. the ability for a family of AN to simulate arbitrary AN. We develop a proof technique to establish intrinsic simulation and universality results which is suitable to deal with families of symmetric networks where connections are non-oriented. It is based on an operation of glueing of networks, which allows to produce complex orbits in large networks from compatible pseudo-orbits in small networks. As an illustration, we give a short proof that the family of networks where each node obeys the rule of the ‘game of life’ cellular automaton is strongly universal. In the third paper of the series, we heavily rely on this proof technique to show intrinsic universality results of various families with particular update schedules.

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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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