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Comparing 1D and 2D Real Time on Cellular Automata

Anaël Grandjean 1 Victor Poupet 1
1 ESCAPE - Systèmes complexes, automates et pavages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : We study the influence of the dimension of cellular automata (CA) for real time language recognition of one-dimensional languages with parallel input. Specifically, we focus on the question of determining whether every language that can be recognized in real time on a 2-dimensional CA working on the Moore neighborhood can also be recognized in real time by a 1-dimensional CA working on the standard two-way neighborhood. We show that 2-dimensional CA in real time can perform a linear number of simulations of a 1-dimensional real time CA. If the two classes are equal then the number of simulated instances can be polynomial.
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Submitted on : Saturday, February 25, 2017 - 9:06:28 PM
Last modification on : Friday, October 22, 2021 - 3:07:35 PM
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Anaël Grandjean, Victor Poupet. Comparing 1D and 2D Real Time on Cellular Automata. STACS: Symposium on Theoretical Aspects of Computer Science, Mar 2015, München, Germany. pp.367-378, ⟨10.4230/LIPIcs.STACS.2015.367⟩. ⟨lirmm-01476808⟩



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