Millions of 5-State n^3 Sequence Generators via Local Mappings - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2021

Millions of 5-State n^3 Sequence Generators via Local Mappings

Résumé

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 5state 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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Dates et versions

hal-03161553 , version 1 (07-03-2021)

Identifiants

Citer

Tien Thao Nguyen, Luidnel Maignan. Millions of 5-State n^3 Sequence Generators via Local Mappings. 2021. ⟨hal-03161553⟩

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