Stochastic Cellular Automata Solutions to the Density Classification ProblemWhen Randomness Helps Computing

被引：0
|
作者：
Nazim Fatès
机构：
[1] Nancy Université,INRIA Nancy—Grand Est, LORIA
来源：
Theory of Computing Systems | 2013年 / 53卷
关键词：
Stochastic and probabilistic cellular automata; Density classification problem; Models of spatially distributed computing; Stochastic process;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In the density classification problem, a binary cellular automaton (CA) should decide whether an initial configuration contains more 0s or more 1s. The answer is given when all cells of the CA agree on a given state. This problem is known for having no exact solution in the case of binary deterministic one-dimensional CA.
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页码：223 / 242
页数：19
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