Wolfram, Stephen Computation theory of cellular automata. (English) Zbl 0587.68050 Commun. Math. Phys. 96, 15-57 (1984). Self-organizing behaviour in cellular automata is discussed as a computational process. Formal language theory is used to extend dynamical systems theory descriptions of cellular automata. The sets of configurations generated after a finite number of time steps of cellular automaton evolution are shown to form regular languages. Many examples are given. The sizes of the minimal grammars for these languages provide measures of the complexities of the sets. This complexity is usually found to be non-decreasing with time. the limit sets generated by some classes of cellular automata correspond to regular languages. For other automata they appear to correspond to more complicated languages. Many properties of these sets are then formally non-computable. It is suggested that such undecidability is common in these and other dynamical systems. Cited in 93 Documents MSC: 68Q80 Cellular automata (computational aspects) 68Q45 Formal languages and automata Keywords:Self-organizing behaviour; regular languages; limit sets PDF BibTeX XML Cite \textit{S. Wolfram}, Commun. Math. Phys. 96, 15--57 (1984; Zbl 0587.68050) Full Text: DOI OpenURL Online Encyclopedia of Integer Sequences: Number of distinct excluded blocks of length n in the evolution language of width 1 (i.e., time series) generated by the elementary cellular automaton of Rule 110, which has the capability of a universal Turing machine. Number of distinct excluded blocks of length n in the evolution language of width 1 (i.e., time series) generated by the elementary cellular automaton of Rule 41, which is famous for its complexity. References: [1] Wolfram, S.: Statistical mechanics of cellular automata. Rev. Mod. Phys.55, 601 (1983) · Zbl 1174.82319 [2] Wolfram, S.: Universality and complexity in cellular automata. 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