论文标题

无处不在的技术方法(驯服):一个实验基础的框架,用于理解各种身体和思想

Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds

论文作者

Levin, Michael

论文摘要

合成生物学和生物工程提供了一个机会,可以在结合了进化和设计的材料和软件的多种嵌合体系结构中创建新型的具体认知系统(也称为思想)。这些进步正在破坏心理哲学中熟悉的概念,并需要新的思考和比较真正多样化的智力的方式,其构图和起源与任何可用的自然模型物种都不一样。从这个角度来看,我介绍了驯服的驯服 - 到处都是心智的技术方法 - 一种理解和操纵非常规底物认知的框架。 Tame正式化了一种非二进制(连续),基于经验的强烈体现代理的方法。当应用于再生/发育系统时,Tame将形态发生的视角提出了基础认知的一个例子。在解剖学,生理,转录和3D(传统行为)空间中解决问题之间的深层对称性驱动了在进化过程中认知能力可以扩展的特定假设。通过进化将活跃亚基加入更大代理的一种重要媒介是发育生物电力,它通过对神经前使用离子通道和间隙连接来实现,以扩展细胞级反馈回路为解剖稳态。这种生物系统多尺度能力的结构对身体和思想的可塑性具有重要意义,从而大大增强了可发展性。从计算科学,进化生物学和基础认知的角度考虑古典和最新数据,揭示了一项丰富的研究计划,对认知科学,进化生物学,再生医学和人工智能具有许多影响。

Synthetic biology and bioengineering provide the opportunity to create novel embodied cognitive systems (otherwise known as minds) in a very wide variety of chimeric architectures combining evolved and designed material and software. These advances are disrupting familiar concepts in the philosophy of mind, and require new ways of thinking about and comparing truly diverse intelligences, whose composition and origin are not like any of the available natural model species. In this Perspective, I introduce TAME - Technological Approach to Mind Everywhere - a framework for understanding and manipulating cognition in unconventional substrates. TAME formalizes a non-binary (continuous), empirically-based approach to strongly embodied agency. When applied to regenerating/developmental systems, TAME suggests a perspective on morphogenesis as an example of basal cognition. The deep symmetry between problem-solving in anatomical, physiological, transcriptional, and 3D (traditional behavioral) spaces drives specific hypotheses by which cognitive capacities can scale during evolution. An important medium exploited by evolution for joining active subunits into greater agents is developmental bioelectricity, implemented by pre-neural use of ion channels and gap junctions to scale cell-level feedback loops into anatomical homeostasis. This architecture of multi-scale competency of biological systems has important implications for plasticity of bodies and minds, greatly potentiating evolvability. Considering classical and recent data from the perspectives of computational science, evolutionary biology, and basal cognition, reveals a rich research program with many implications for cognitive science, evolutionary biology, regenerative medicine, and artificial intelligence.

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