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Computational Complexity in Non-Turing Models of Computation

机译:非图灵计算模型中的计算复杂性

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We preliminarily recap what is meant bycomplexityandnon-Turing computation, by way of explanation of our title, ‘Computational Complexity in Non-Turing Models of Computation’.Based on investigation of a motivating example, we argue that traditional complexity theory does not adequately capture the true complexity of certain non-Turing computers, and, hence, that an extension of the theory is needed in order to accommodate such machines.We propose a framework of complexity that is not computation-model-dependent—that, rather, is extensible so as to accommodate diverse computational models—, and that allows meaningful comparison of computers' respective complexities, whether or not the comparison be with respect to differentresources, and whether or not the computers be instances of differentmodels of computation.Whilst, we suggest, complexity theory is—without some modification—of limited applicability to certain non-standard models, we hope that the ideas described here go some way to showing how such modification can be made, and that members of the non-Turing-computation community—not least participants ofQuantum Physics and Logic/Development of Computational Models 2008—find these ideas both useful and interesting.
机译:我们通过解释题名``非图灵计算模型中的计算复杂度'',初步回顾了复杂度和非图灵计算的含义。基于对一个激励示例的研究,我们认为传统复杂度理论无法充分捕捉到某些非图灵机的真正复杂性,因此需要对理论进行扩展才能容纳此类计算机。我们提出了一种复杂性框架,该框架不依赖于计算模型,而是可以扩展的,因此以适应不同的计算模型,并且可以对计算机各自的复杂性进行有意义的比较,无论是否针对不同的资源进行比较,以及计算机是否是不同计算模型的实例。同时,我们建议采用复杂性理论在不做任何修改的情况下,仅适用于某些非标准模型,我们希望此处介绍的思想可以有所帮助展示了如何进行此类修改,以及非图灵计算社区的成员,尤其是2008量子物理与逻辑/计算模型开发的参与者,发现这些想法既有用又有趣。

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