Evolutionism and holism: Two different paradigms for the phenomenon of biological evolution

R. Fondi
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引用次数: 3

Abstract

The evolutionistic paradigm – the assumption that biological evolution consists in a mere process of ‘descendance with modification from common ancestors’, canonically represented by means of the phylogenetic tree model – can be seen as strictly connected to the classical or deterministic vision of the world, which dominated the 18th and 19th centuries. Research findings in palaeontology, however, have never fully supported the abovementioned model. Besides, during the 20th century, the conceptual transformations produced by restricted and general relativity, quantum mechanics, cosmology, information theory, research into consciousness, chaos– complexity theory, evolutionary thermodynamics and biosemiotics have radically changed the scientific picture of reality. It is therefore necessary to adopt a more suitable and up-to-date paradigm, according to which nature is not seen anymore as a mere assembly of independent things, subject to the Lamarckian-Darwinian dialectics of ‘chance and necessity’, but as: (1) an extremely complex system with all its parts dynamically coordinated; (2) the evolution of which does not obey the logic of a deterministic linear continuity but that of an indeterministic global discontinuity; and (3) in which the mind or psychic dimension, particularly evident in semiotic aspects of the biological world, is an essential and indissoluble part. On the basis of its characteristics, the new paradigm can be generically named holistic, organicistic or systemic.
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进化论和整体论:生物进化现象的两种不同范式
进化论范式——假设生物进化仅仅是一个“从共同祖先进化而来的后代”的过程,通常用系统发育树模型来表示——可以被视为与主导了18世纪和19世纪的经典或决定论世界观紧密相连。然而,古生物学的研究结果从未完全支持上述模型。此外,在20世纪,由有限相对论和广义相对论、量子力学、宇宙学、信息论、意识研究、混沌复杂性理论、进化热力学和生物符号学所产生的概念转换,从根本上改变了现实的科学图景。因此,有必要采用一种更合适的、最新的范式,根据这种范式,自然界不再被视为仅仅是独立事物的集合,服从于拉马克-达尔文的“偶然和必然”辩证法,而是被视为:(1)一个极其复杂的系统,其所有部分都是动态协调的;(2)其演化不服从确定性线性连续性的逻辑,而是服从不确定全局不连续的逻辑;(3)精神或心理维度,特别是在生物世界的符号学方面,是一个重要的和不可分割的部分。根据新范式的特点,可以将其统称为整体范式、有机范式或系统范式。
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