Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Biological Organization Principles: Biogenesis, Cognition and Evolution of Living Systems

Version 1 : Received: 27 August 2020 / Approved: 28 August 2020 / Online: 28 August 2020 (15:08:56 CEST)

How to cite: Maureira, C.; Garcia, J. Biological Organization Principles: Biogenesis, Cognition and Evolution of Living Systems. Preprints 2020, 2020080647 (doi: 10.20944/preprints202008.0647.v1). Maureira, C.; Garcia, J. Biological Organization Principles: Biogenesis, Cognition and Evolution of Living Systems. Preprints 2020, 2020080647 (doi: 10.20944/preprints202008.0647.v1).

Abstract

The Autopoiesis and Cognition Theory (ACT), by Maturana and Varela, based on the notions of Biological Closure and Structural Coupling, is a well-known theory on how to understand biological organization [1, 2, 3]. Although, for example, the Free Energy Principle framework evokes some entailments of autopoiesis in a more formal setting [4, 5]; and ACT has been used in many fields, its impact has been restricted because it lacks quantitative analysis. Here we present a theoretical framework grounded in accepted and well-developed ideas from Mathematics and Physics which advance the understanding of the Principles of Biological Organization under the guidance of Biological Closure and Structural Coupling. The disciplines of Differential Geometry/Topology, Mechanics and Complex Dynamical Systems provide a powerful, elegant, and well-established body of knowledge to support our Biological Organization Principles (BOP) framework. In particular, Stochastic Mechanics and KAM theory (from Kolmogorov, Arnold and Moser theorem) allow us to develop, using the notions of Biological Closure and Structural Coupling, a central core of BOP termed Dynamical Closure Mechanism. Under the proposed framework, a wide variety of bio- logical phenomena can be understood, shedding new light on biological explanations. However, an understanding of biological organization may require the re-evaluation of dogmas on how we think on biology as it seems inescapable that what is needed is an integration of analysis and notions derived from mathematics, physics, and biology to generate a new landscape of ideas.

Subject Areas

Biological Organization Principles; Dynamical Systems; Bayesian Inference and Brian; FEP; Autopoiesis; Evolution; Cognition; Niche; KAM-dynamics Contents

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