From code to archetype: Toward a unified theory of biological, neural, and artificial artifacts

IF 1.9 4区 生物学 Q2 BIOLOGY
João Carlos Major
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Abstract

Carl Jung's concept of archetypes as innate, universal structures of the human psyche finds surprising resonance with contemporary theories in Code Biology, neuroscience, and artificial intelligence. Archetypes, far from being metaphysical abstractions, can be reframed as codified artifacts of the mind, shaped by phylogenetic inheritance, stabilized by neural coding, and expressed through cognitive and cultural configurations.
Marcello Barbieri's Code Biology demonstrates that life is driven not only by biochemical causality but also by natural conventions — systems of natural correspondence that create functional structures, or bio-artifacts, through processes of translation carried out by molecular mediators. Similarly, research in neuroscience identifies neural codes as dynamic patterns of brain activity that organize perception, emotion, and cognition.
Building on this, this paper advances the hypothesis that archetypes operate as neurofunctional artifacts — internal configurations that stabilize recurring experiences across individuals and cultures, leading to expressive forms such as myths, dreams, and emotional constellations that shape human meaning-making. These artifacts are not limited to biology or psyche alone; they now appear in the digital realm. The rise of generative AI systems, such as large language models (LLMs), introduces a new category of algorithmic artifacts that replicate archetypes. These systems simulate meaning without subjective intentionality.
This interdisciplinary framework brings together biology, psychology, and AI under a unified theory of codified form. Archetypes, in this perspective, are artifacts instantiated by lower-level codes that serve as mediators in higher-level interpretative processes — acting as a bridge between gene and glyph, neuron and narrative, matter and symbol … and silicon.
从代码到原型:迈向生物、神经和人工制品的统一理论。
卡尔·荣格的原型概念是人类心理固有的、普遍的结构,与当代代码生物学、神经科学和人工智能理论有着惊人的共鸣。原型,远不是形而上学的抽象,可以被重新定义为心灵的编码产物,由系统发育遗传形成,由神经编码稳定,并通过认知和文化配置来表达。Marcello Barbieri的《密码生物学》表明,生命不仅受到生物化学因果关系的驱动,还受到自然惯例的驱动——通过分子介质进行的翻译过程,自然对应的系统创造了功能结构或生物制品。同样,神经科学的研究将神经密码确定为组织感知、情感和认知的大脑活动的动态模式。在此基础上,本文提出了一个假设,即原型就像神经功能的人工制品一样运作——内部配置稳定了个体和文化之间反复出现的经历,导致了神话、梦和情感星座等表达形式,这些形式塑造了人类的意义创造。这些人工制品不仅局限于生物学或心灵;它们现在出现在数字领域。生成式人工智能系统的兴起,如大型语言模型(llm),引入了一种新的算法工件类别,可以复制原型。这些系统模拟没有主观意向性的意义。这个跨学科的框架将生物学、心理学和人工智能结合在一起,形成了一个统一的理论。从这个角度来看,原型是由低级代码实例化的人工制品,它们在高级解释过程中充当中介——充当基因与字形、神经元与叙事、物质与符号……以及硅之间的桥梁。
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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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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