Titlebook: Cellular Automata; 10th International C Georgios Ch. Sirakoulis,Stefania Bandini Conference proceedings 2012 Springer-Verlag Berlin Heidelb

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Structural Operational Semantics for Cellular Automataze previous, intensively category-theoretic work in more general terms, and discuss how various interesting properties are made (more) explicit by the semantical analysis of cellular automata in terms of novel mathematical structures.

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Counting Cycles in Reversible Cellular Automatarty. The right independence property implies, the cells of CA are independent of right neighbor. To our knowledge, no work till now has been done to find the number cycles of reversible CA by analyzing the CA state space.

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Iterative Arrays: Little Resources Big Size Impacthe communication cell to perform a few nondeterministic steps, and increase the number of bits that may be communicated to neighboring cells slightly. In all cases it is shown that there are arbitrary savings in the size of the descriptions of the arrays which cannot be bounded by any computable function.

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Multi-objective Cellular Automata Optimizationtive genetic algorithm and the second one on a hybrid annealing – genetic procedure. Pareto front approximations are computed by the two methods and also by a non-cellular version of the second approach. The better performance of the cellular methods is demonstrated and questions for further research are discussed.

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Investigation of Stable Patterns Formed by Totalistic Cellular Automata Evolution one nucleation cell are obtained and classified. The influence of weight matrix entries on stable patterns is studied. The theorem about the stable patterns dependence on the ratio of positive to negative entries of a weight matrix is proved. Stable patterns formed of two nucleation cells are also investigated.

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Recent Developments in Constructing Square Synchronizerssquare arrays and construct a survey on recent developments in their designs and implementations of optimum-time synchronization algorithms for square arrays. A new generalized square synchronization algorithm with an initial general at any position is also presented.

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Shashank Kumar Pathak,M. Nirmala Devire of his environment. In the paper we show the relaxation, stability and the Gallagher index value for at the successive stages of CA simulation run. We find that the majority of methods leads to similar results however few of them is promising when trying to reproduce some social phenomena.

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