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论麦克斯韦妖与进化变异的起源:一种内在主义视角

On Maxwell's demons and the origin of evolutionary variations: an internalist perspective.

作者信息

Andrade Eugenio

机构信息

Department of Biology, Universidad Nacional de Colombia, Bogotá, DC.

出版信息

Acta Biotheor. 2004;52(1):17-40. doi: 10.1023/B:ACBI.0000015910.83018.68.

Abstract

This paper defends an internalist perspective of selection based on the hypothesis that considers living evolutionary units as Maxwell's demons (MD) or Zurek's Information Gathering and Using Systems (IGUS). Individuals are considered as IGUS that extract work by means of measuring and recording processes. Interactions or measurements convert uncertainty about the environment (Shannon's information, H) into internalized information in the form of a compressed record (Chaitin's algorithmic complexity, K). The requirements of the model and the limitations inherent to its formalization are discussed. This approach offers an alternative view to the causes of evolutionary variations which goes beyond the classical Lamarckian-Darwinian controversy. I argue that random variations only apply near-to-equilibrium at the time organisms have attained structural closure, and that a speed up of mutation rates that facilitates the production of directed variations occurs far-from-equilibrium due to organisms' openness to the surrounding conditions. However, real organisms are located somewhere between the above two cases and thus, operate at an intermediate stage where there is a maximum efficiency of H/K conversion. In consequence, IGUS keep their autonomy and evolving capacity by compromising between external circumstances and inner constraints. This compromise is made possible by closure regulation. Likewise, this model explains why nature has favored the selection of agents capable of selectively recording a partial description of their environment.

摘要

本文基于一种假设为选择辩护,该假设将有生命的进化单元视为麦克斯韦妖(MD)或祖雷克的信息收集与利用系统(IGUS)。个体被视为通过测量和记录过程提取功的IGUS。相互作用或测量将关于环境的不确定性(香农信息,H)转化为压缩记录形式的内化信息(柴廷算法复杂性,K)。讨论了该模型的要求及其形式化所固有的局限性。这种方法为进化变异的原因提供了一种替代观点,超越了经典的拉马克 - 达尔文之争。我认为随机变异仅在生物体达到结构封闭时适用于接近平衡的情况,而由于生物体对周围条件的开放性,促进定向变异产生的突变率加速发生在远离平衡的情况下。然而,真实的生物体处于上述两种情况之间的某个位置,因此在H/K转换效率最高的中间阶段运行。因此,IGUS通过在外部环境和内部约束之间进行折中来保持其自主性和进化能力。这种折衷通过封闭调节得以实现。同样,该模型解释了为什么自然倾向于选择能够选择性记录其环境部分描述的主体。

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