Abstract
In this paper, we come back on the notion of local simulation allowing to transform a cellular automaton into a closely related one with different local encoding of information. In a previous paper, we applied it to the Firing Squad Synchronization Problem. In this paper, we show that the approach is not tied to this problem by applying it to the class of Real-Time Sequence Generation problems. We improve in particular on the generation of \(n^3\) sequence by using local mappings to obtain millions of 5-state solution, one of them using 58 transitions. It is based on the solution of Kamikawa and Umeo that uses 6 states and 74 transitions. Then, we explain in which sense even bigger classes of problems can be considered.
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Notes
- 1.
The quickest way to convince oneself is to compute 10.000 transitions of the 6-state solution and notice that all quintuplets occur by timestep 237. So it is enough to check for non-determinism only up to timestep 237. See [9] for more information.
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Nguyen, T.T., Maignan, L. (2022). Millions of 5-State \(n^3\)-Real Time Sequence Generators via Local Simulations. In: Chopard, B., Bandini, S., Dennunzio, A., Arabi Haddad, M. (eds) Cellular Automata. ACRI 2022. Lecture Notes in Computer Science, vol 13402. Springer, Cham. https://doi.org/10.1007/978-3-031-14926-9_8
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