Codes of Praxis: How Recursivity Constitutes Human Social Practices.

IF 2 4区 生物学 Q2 BIOLOGY
Rasmus Gahrn-Andersen
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引用次数: 0

Abstract

The paper addresses a criticism raised by Kull (2020) against Code Biology. Kull's critique targets key ontological and epistemological assumptions within Code Biology and, if valid, could effectively subordinate it to Peircean Biosemiotics. After examining the core of Kull's argument, the paper counters a significant aspect of his claim: that cognition necessarily involves interpretation-driven decision-making, wherein an agent is always faced with at least two alternatives when acting upon the world. Drawing from radical cognitive science and general Code Biology, the paper argues that basic cognitive processes are devoid of mental content and, therefore, should not be described in mentalist terms such as 'decision-making' or 'interpretation.' In this connection, insights from phenomenological accounts of skill acquisition demonstrate that even sophisticated forms of human cognition can occur without explicit reasoning about alternatives. In such cases, the environment itself elicits skillful responses. Building on this, the paper introduces the concept of praxeological codes-codified relations characteristic of human socio-practical activity-which can be used to explain what Maturana identifies as the 'recursivity' of practical doings. In this connection, the paper provides an account of core aspects of human socio-practical behavior.

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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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