作为机械过程的认知

IF 1.6 Q3 CLINICAL NEUROLOGY
NeuroSci Pub Date : 2021-04-22 DOI:10.3390/NEUROSCI2020010
R. Friedman
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引用次数: 1

摘要

认知通常被定义为物理和非物理机制的双重过程。这种二元性源于过去关于自然界组成部分的理论。尽管物质因果关系不能解释所有的自然过程,但生命的细胞水平上的现象是由物理原因模拟的。这些现象包括对器官系统功能的解释,包括神经系统和大脑中的信息处理。这篇综述将认知的定义限制为一个机制过程,并列举了支持一组抽象的近似机制的研究。具体地说,这个过程是从一个大尺度的角度来看的,即神经系统中的信息流。这种规模的研究进一步限制了对认知的可能解释,因为信息流是符合理论的,不像低层次的方法,问题变得棘手。这些可能的假设包括解释认知过程的随机过程,以及支持编码信息抽象格式的原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognition as a Mechanical Process
Cognition is often defined as a dual process of physical and non-physical mechanisms. This duality originated from past theory on the constituent parts of the natural world. Even though material causation is not an explanation for all natural processes, phenomena at the cellular level of life are modeled by physical causes. These phenomena include explanations for the function of organ systems, including the nervous system and information processing in the cerebrum. This review restricts the definition of cognition to a mechanistic process and enlists studies that support an abstract set of proximate mechanisms. Specifically, this process is approached from a large-scale perspective, the flow of information in a neural system. Study at this scale further constrains the possible explanations for cognition since the information flow is amenable to theory, unlike a lower-level approach where the problem becomes intractable. These possible hypotheses include stochastic processes for explaining the processes of cognition along with principles that support an abstract format for the encoded information.
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