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Turing patterns with Turing machines: emergence and low-level structure formation

机译:图灵机的图灵模式:出现和底层结构形成

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摘要

Despite having advanced a reaction-diffusion model of ordinary differential equations in his 1952 paper on morphogenesis, reflecting his interest in mathematical biology, Turing has never been considered to have approached a definition of cellular automata. However, his treatment of morphogenesis, and in particular a difficulty he identified relating to the uneven distribution of certain forms as a result of symmetry breaking, are key to connecting his theory of universal computation with his theory of biological pattern formation. Making such a connection would not overcome the particular difficulty that Turing was concerned about, which has in any case been resolved in biology. But instead the approach developed here captures Turing's initial concern and provides a low-level solution to a more general question by way of the concept of algorithmic probability, thus bridging two of his most important contributions to science: Turing pattern formation and universal computation. I will provide experimental results of one-dimensional patterns using this approach, with no loss of generality to a n-dimensional pattern generalisation.
机译:尽管在1952年关于形态发生的论文中发展了一个常微分方程的反应扩散模型,这反映出他对数学生物学的兴趣,但图灵从未被认为已经达到了细胞自动机的定义。但是,他对形态发生的处理,尤其是他发现的与对称性破坏导致的某些形式的不均匀分布有关的困难,是将他的通用计算理论与他的生物模式形成理论联系起来的关键。建立这种联系将无法克服Turing所关注的特殊难题,无论如何生物学上都解决了这一难题。但是相反,这里开发的方法抓住了Turing最初的关注,并通过算法概率的概念为更普遍的问题提供了一个低级的解决方案,从而将他对科学的最重要的贡献联系在一起了:Turing模式形成和通用计算。我将使用这种方法提供一维模式的实验结果,而不会丢失n维模式一般性。

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