Probabilistic Cellular Automata
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38700-5_9
Reference8 articles.
1. Fukś, H.: Non-deterministic density classification with diffusive probabilistic cellular automata. Phys. Rev. E 66, 066106 (2002). https://doi.org/10.1103/PhysRevE.66.066106
2. Boccara, N., Fukś, H.: Modeling diffusion of innovations with probabilistic cellular automata. In: M. Delorme, J. Mazoyer (eds.) Cellular Automata: A Parallel Model. Kluwer Academic Publishers, Dordrecht (1998)
3. Fatès, N., Morvan, M.: An experimental study of robustness to asynchronism for elementary cellular automata. Complex Systems 16, 1–27 (2005)
4. Fatès, N., Regnault, D., Schabanel, N., Thierry, É.: Asynchronous behavior of double-quiescent elementary cellular automata. In: J. Correa, A. A. Hevia, M. Kiwi (eds.) LATIN 2006: Theoretical Informatics, LNCS, vol. 3887, pp. 455–466 (2006)
5. Fukś, H., Skelton, A.: Orbits of Bernoulli measure in single-transition asynchronous cellular automata. Dis. Math. Theor. Comp. Science AP, 95–112 (2012)
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