Stochastic Cellular Automata Solutions to the Density Classification Problem

Author:

Fatès Nazim

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Reference19 articles.

1. Alonso-Sanz, R., Bull, L.: A very effective density classifier two-dimensional cellular automaton with memory. J. Phys. A 42(48), 485,101 (2009)

2. Bénézit, F.: Distributed average consensus for wireless sensor networks. Ph.D. thesis, EPFL, Lausanne (2009). doi: 10.5075/epfl-thesis-4509

3. Boccara, N., Fukś, H.: Number-conserving cellular automaton rules. Fundam. Inform. 52(1–3), 1–13 (2002)

4. Busic, A., Fatès, N., Mairesse, J., Marcovici, I.: Density classification on infinite lattices and trees (2011). ArXiv: 1111.4582 . Short version to appear in the proceedings of LATIN 2012, LNCS series, vol. 7256

5. Capcarrere, M.S., Sipper, M., Tomassini, M.: Two-state, r=1 cellular automaton that classifies density. Phys. Rev. Lett. 77(24), 4969–4971 (1996)

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