Cellular automata machines: a new environment for modeling
Cellular automata machines: a new environment for modeling
Computation properties of spatial dynamics simulation by probabilistic cellular automata
Future Generation Computer Systems - Special issue: Parallel computing technologies
Simulating Complex Systems by Cellular Automata
Simulating Complex Systems by Cellular Automata
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Two new cellular-automata models of the diffusion process are proposed. They are based on integer states of cells instead of Boolean ones in the known models: asynchronous naive diffusion by Toffolli and block-synchronous Margolus diffusion. Computing experiments have been carried out with these models; they demonstrate a good correlation with this physical phenomenon. The main advantages of the proposed models are (i) low automata noise and (ii) variable diffusion rate.