Non-deterministic density classification with diffusive probabilistic cellular automata

Nonlinear Sciences – Cellular Automata and Lattice Gases

Scientific paper

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4 pages, 4 figures

Scientific paper

10.1103/PhysRevE.66.066106

We present a probabilistic cellular automaton (CA) with two absorbing states which performs classification of binary strings in a non-deterministic sense. In a system evolving under this CA rule, empty sites become occupied with a probability proportional to the number of occupied sites in the neighborhood, while occupied sites become empty with a probability proportional to the number of empty sites in the neighborhood. The probability that all sites become eventually occupied is equal to the density of occupied sites in the initial string.

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