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Evolutionary epistemology: Reviewing and reviving with new data the research programme for distributed biological intelligence

机译:进化认识论:通过新数据审查和恢复分布式生物智能研究计划

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摘要

Numerous studies in microbiology, eukaryotic cell biology, plant biology, biomimetics, synthetic biology, and philosophy of science appear to support the principles of the epistemological theory inspired by evolution, also known as "Evolutionary Epistemology", or EE. However, that none of the studies acknowledged EE suggests that its principles have not been formulated with sufficient clarity and depth to resonate with the interests of the empirical research community. In this paper I review evidence in favor of EE, and also reformulate EE principles to better inform future research. The revamped programme may be tentatively called Research Programme for Distributed Biological Intelligence. Intelligence I define as the capacity of organisms to gain information about their environment, process that information internally, and translate it into phenotypic forms. This multistage progression may be expressed through the acronym IGPT (information-gain-process-translate). The key principles of the programme may be summarized as follows. (i) Intelligence, a universal biological phenomenon promoting individual fitness, is required for effective organism-environment interactions. Given that animals represent less than 0.01% of the planetary biomass, neural intelligence is not the evolutionary norm. (ii)The basic unit of intelligence is a single cell prokaryote. All other forms of intelligence are derived. (iii) Intelligence is hierarchical. It ranges from bacteria to the biosphere or Gaia. (iv) The concept of "information" acquires a new meaning because information processing is at the heart of biological intelligence. All biological systems, from bacteria to Gaia, are intelligent, open thermodynamic systems that exchange information, matter and energy with the environment. (v)The organism-environment interaction is cybernetic. As much as the organism changes due to the influence of the environment, the organism's responses to induced changes affect the environment and subse
机译:众多研究微生物学,真核细胞生物学,植物生物学,仿生学,综合生物学和科学哲学似乎支持由演变的认识论的原则,也称为“进化认识论”或EE。然而,没有一项研究承认EE表明,其原则尚未以足够的清晰度和深度制定,以符合实证研究界的利益。在本文中,我审查了有利于EE的证据,并重新制定EE原则,以更好地了解未来的研究。改进的计划可能是暂时称为分布式生物智能的研究计划。智能我定义为有机体的能力获取有关其环境的信息,在内部的信息处理信息,并将其转化为表型形式。该多级进展可以通过缩写IGPT(信息增益处理 - 转换)表示。该计划的关键原则可以概括如下。 (i)有效的生物环境相互作用,需要促进个体健身的普遍生物现象。鉴于动物代表行星生物质的少于0.01%,神经智力不是进化常态。 (ii)基本智力单位是单一的细胞原英科。派生所有其他形式的智能。 (iii)智能是等级的。它从细菌到生物圈或盖亚的范围。 (iv)“信息”的概念获取了一种新的含义,因为信息处理是生物智力的核心。从细菌到盖亚的所有生物系统都是智能的,开放的热力学系统与环境交换信息,物质和能量。 (v)有机体环境相互作用是网络感染。由于环境的影响因素变化,有机体对诱导变化的反应会影响环境和潜水

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