Digital Irreducible Complexity: A Survey of Irreducible Complexity in Computer Simulations

W. Ewert
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引用次数: 2

Abstract

Irreducible complexity is a concept developed by Michael Behe to describe certain biological systems. Behe claims that irreducible complexity poses a challenge to Darwinian evolution. Irreducibly complex systems, he argues, are highly unlikely to evolve because they have no direct series of selectable intermediates. Various computer models have been published that attempt to demonstrate the evolution of irreducibly complex systems and thus falsify this claim. However, closer inspection of these models shows that they fail to meet the definition of irreducible complexity in a number of ways. In this paper we demonstrate how these models fail. In addition, we present another designed digital system that does exhibit designed irreducible complexity, but that has not been shown to be able to evolve. Taken together, these examples indicate that Behe’s concept of irreducible complexity has not been falsified by computer models.
数字不可约复杂性:计算机模拟中不可约复杂性研究综述
不可约复杂性是Michael Behe提出的一个概念,用来描述某些生物系统。贝希声称,不可简化的复杂性对达尔文的进化论构成了挑战。他认为,不可简化的复杂系统不太可能进化,因为它们没有一系列直接的可选择的中间产物。已经发表了各种各样的计算机模型,试图证明不可约复杂系统的进化,从而证伪这一说法。然而,对这些模型的仔细检查表明,它们在许多方面都不符合不可约复杂性的定义。在本文中,我们证明了这些模型是如何失败的。此外,我们提出了另一个设计的数字系统,它确实表现出设计的不可简化的复杂性,但还没有显示出能够进化。综上所述,这些例子表明,贝赫的不可约复杂性概念并没有被计算机模型证伪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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