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arXiv 1703.09406math.LOcs.LO
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关于图图灵机的可计算性

On the computability of graph Turing machines

Nathanael Ackerman, Cameron Freer

摘要:

我们考虑图图灵机,一个模型的并行计算图,其中每个顶点只能执行一个有限数量的操作。这种计算模型是几种研究得很好的计算概念的自然概括,包括普通的图灵机、元胞自动机和并行图形动力系统。我们分析的计算能力,可以发生在这个模型中,无论是在可计算的功能的可计算性程度,以及进行这些计算所需的时间和空间资源。我们进一步表明,底层图形的属性有显着的后果,从而获得的计算能力。特别地,我们证明了每一个算术可定义的集合都可以由图图灵机在常数时间内计算,并且每一个可计算的图灵度都可以由图图灵机在常数时间和线性空间内计算,其基础图具有有限度.

英文摘要:

We consider graph Turing machines, a model of parallel computation on a graph, in which each vertex is only capable of performing one of a finite number of operations. This model of computation is a natural generalization of several well-studied notions of computation, including ordinary Turing machines, cellular automata, and parallel graph dynamical systems. We analyze the power of computations that can take place in this model, both in terms of the degrees of computability of the functions that can be computed, and the time and space resources needed to carry out these computations. We further show that properties of the underlying graph have significant consequences for the power of computation thereby obtained. In particular, we show that every arithmetically definable set can be computed by a graph Turing machine in constant time, and that every computably enumerable Turing degree can be computed in constant time and linear space by a graph Turing machine whose underlying graph has finite degree.

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