非均匀元胞自动机的幂零和周期点

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Supreeti Kamilya, Jarkko Kari
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引用次数: 0

摘要

幂零元胞自动机具有最简单的动力学:所有初始配置在有界时间内进入系统的唯一不动点。我们研究了一维非均匀细胞自动机(NUCA)设置中的幂零性,其中不同的细胞可能使用不同的局部规则。NUCA中有无限多个单元,但只有有限数量的不同局部规则。改变系统中局部规则的分布可能会极大地改变动态。我们证明,如果可用的局部规则是这样的,即规则的每个周期分布都导致幂零行为,那么所有最终的周期分布也是如此。然而,在某些情况下,即使所有的周期分布都是幂零的,也可能存在不是幂零的非周期分布。我们使用非周期王瓦片集来证明这种可能性。我们还研究了NUCA中的时间周期点。与经典的一致细胞自动机相反,有NUCA——甚至是可逆的等连续的NUCA——没有任何时间周期点。我们证明了这个性质的不可判定性:没有算法来确定具有给定有限局部规则分布的NUCA是否具有周期点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nilpotency and periodic points in non-uniform cellular automata

Nilpotent cellular automata have the simplest possible dynamics: all initial configurations lead in bounded time into the unique fixed point of the system. We investigate nilpotency in the setup of one-dimensional non-uniform cellular automata (NUCA) where different cells may use different local rules. There are infinitely many cells in NUCA but only a finite number of different local rules. Changing the distribution of the local rules in the system may drastically change the dynamics. We prove that if the available local rules are such that every periodic distribution of the rules leads to nilpotent behavior then so do also all eventually periodic distributions. However, in some cases there may be non-periodic distributions that are not nilpotent even if all periodic distributions are nilpotent. We demonstrate such a possibility using aperiodic Wang tile sets. We also investigate temporally periodic points in NUCA. In contrast to classical uniform cellular automata, there are NUCA—even reversible equicontinuous ones—that do not have any temporally periodic points. We prove the undecidability of this property: there is no algorithm to determine if a NUCA with a given finite distribution of local rules has a periodic point.

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来源期刊
Acta Informatica
Acta Informatica 工程技术-计算机:信息系统
CiteScore
2.40
自引率
16.70%
发文量
24
审稿时长
>12 weeks
期刊介绍: Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics. Topics of interest include: • semantics of programming languages • models and modeling languages for concurrent, distributed, reactive and mobile systems • models and modeling languages for timed, hybrid and probabilistic systems • specification, program analysis and verification • model checking and theorem proving • modal, temporal, first- and higher-order logics, and their variants • constraint logic, SAT/SMT-solving techniques • theoretical aspects of databases, semi-structured data and finite model theory • theoretical aspects of artificial intelligence, knowledge representation, description logic • automata theory, formal languages, term and graph rewriting • game-based models, synthesis • type theory, typed calculi • algebraic, coalgebraic and categorical methods • formal aspects of performance, dependability and reliability analysis • foundations of information and network security • parallel, distributed and randomized algorithms • design and analysis of algorithms • foundations of network and communication protocols.
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