A sequential solution to the density classification task using an intermediate alphabet

Pacôme Perrotin, Pedro Paulo Balbi, Eurico Ruivo
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Abstract

We present a sequential cellular automaton of radius 2 1 as a solution to the density classification task that makes use of an intermediate alphabet, and converges to a clean fixed point with no remaining auxiliary or intermediate information. We extend this solution to arbitrary finite alphabets and to configurations in higher dimensions.
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使用中间字母表的密度分类任务顺序解决方案
我们提出了一种半径为 2 1 的连续细胞自动机,作为密度分类任务的解决方案,它利用中间字母表,并在没有剩余辅助或中间信息的情况下转换到一个干净的固定点。我们将这一解决方案扩展到任意有限字母表和更高维度的配置。
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