作者: Moshe Sipper , Marco Tomassini
DOI: 10.1007/3-540-61723-X_1058
关键词: Complex system 、 Stochastic simulation 、 Contrast (statistics) 、 Cellular automaton 、 Random number generation 、 Discrete mathematics 、 Random permutation 、 Computer science 、 Pseudorandom number generator 、 Computation 、 Algorithm
摘要: Random numbers are needed in a variety of applications, yet finding good random number generators is difficult task. In the last decade cellular automata (CA) have been used to generate numbers. this paper non-uniform CAs studied, where each cell may contain different rule, contrast original, uniform model. We present programming algorithm for co-evolving perform computations, and apply it evolution generators. Our results suggest that can be evolved; these exhibit behavior at least as previously described CAs, with notable advantages arising from existence “tunable” obtaining