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Firsts Steps in Cellular Fields Optimization: A FSSP Case Study

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Cellular Automata (ACRI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11115))

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Abstract

A large number of cellular automata have been given as a transition table constructed by hand. The methodology of “cellular fields” propose to give them by their modular design principles instead, and to generate the transition table in last step, as it is the case for high-level programming language source code and their binary executable file. In this paper, we check whether this generated tables can be optimized to be as small a their counterpart constructed by hand. This is done in the particular case of a cellular automaton solving the Firing Squad Synchronization Problem using cellular fields. We study the internal structure of this solution and study their reductions in the same vein as deterministic finite automata minimization. We also compare this solution with the 8-states solution of Noguchi and devise another notion of optimization.

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References

  1. Balzer, R.: An 8-state minimal time solution to the firing squad synchronization problem. Inf. Control 10, 22–42 (1967)

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  3. Noguchi, K.: Simple 8-state minimal time solution to the firing squad synchronization problem. Theor. Comput. Sci. 314(3), 303–334 (2004)

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Correspondence to Tien Thao Nguyen or Luidnel Maignan .

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Nguyen, T.T., Maignan, L. (2018). Firsts Steps in Cellular Fields Optimization: A FSSP Case Study. In: Mauri, G., El Yacoubi, S., Dennunzio, A., Nishinari, K., Manzoni, L. (eds) Cellular Automata. ACRI 2018. Lecture Notes in Computer Science(), vol 11115. Springer, Cham. https://doi.org/10.1007/978-3-319-99813-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-99813-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99812-1

  • Online ISBN: 978-3-319-99813-8

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