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The enactive computational basis of cognition and the explanatory cognitive basis for computing

机译:认知的积累计算基础和计算的解释性认知基础

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The computational theory of cognition, or computationalism, holds that cognition is a form of computation. Two issues related to this view are comprised by the goal of this paper: A) Computing systems are traditionally seen as representational systems, but functional and enactive approaches support non-representational theories; B) Recently, a sociocultural theory against computationalism was proposed with the aim of ontologically reducing computing to cognition. We defend, however, that cognition and computation are in action, thus cognition is just a form of computing and that cognition is the explanatory basis for computation. We state that: 1. Representational theories of computing recurring to intentional content run into metaphysical problems. 2. Functional non-representational theories do not incur this metaphysical problem when describing computing in terms of the abstract machine. 3. Functional theories are consistent with enactive in describing computing machines not in a strictly functional way, but especially in terms of their organization. 4. Enactive cognition is consistent with the computationalism in describing Turing machines as functionally and organizationally closed systems. 5. The cognitive explanatory basis for computing improves the computational theory of cognition. When developed in the human linguistic domain, computer science is seen as a product of human socionatural normative practices, however, cognition is just an explanatory, not ontological, basis for computing. The paper concludes by supporting that computation is in action, that cognition is just one form of computing in the world and the explanatory basis for computation. (C) 2020 Published by Elsevier B.V.
机译:认知或计算主义的计算理论,认为认知是一种计算形式。与此视图相关的两个问题包括本文的目标:a)计算系统传统上被视为代表性系统,但功能和实施方法支持非代表理论; b)最近,提出了一种针对计算主义的社会文化理论,目的是在本地性地减少对认知的计算。然而,我们捍卫认知和计算正在进行中,因此认知只是一种计算形式,并且认知是计算的解释性基础。我们说:1。计算重复到故意内容的代表性理论陷入了形而上学问题。 2.当在抽象机器时计算计算时,功能的非代表理论不承担这种形而上学问题。 3.功能理论是一致的,因为没有以严格的功能方式描述计算机器,但特别是在其组织方面。 4.积累认知与在功能和组织封闭系统中描述图灵机的计算中的一致性。 5.认知的计算解释基础改善了认知的计算理论。在人类语言领域开发时,计算机科学被视为人类社会规范实践的产品,然而,认知只是一个解释性的,不是本体论,计算的基础。本文通过支持计算正在采取行动,认知只是世界上的一种形式,并且计算的解释性基础。 (c)2020由elsevier b.v发布。

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