CONSTRUCTAL EVOLUTION OF GENETIC CODING SYSTEMS

This paper is a theoretical exploration of how biological evolution may evolve itself according to the Constructal Law. The astonishing diversity of life on Earth reflects how effective evolution is at augmenting survivability within various ecological niches. Yet, the genetic coding system that drives evolution is remarkably conserved among virtually all organisms. This is perhaps indicative that the process of evolution on Earth has so far been powerful enough to meet the planet’s ecological challenges. If these challenges become increasingly intense or unstable, then for life to survive, its evolvability must evolve. Such second-order evolution may occur via fundamental changes to the genetic coding system.

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Journal
14th CONSTRUCTAL LAW CONFERENCE | 10-11 October 2024 Bucharest Romania
Published
2024-12-18
DOI
https://doi.org/10.59277/clc.2024.11
Primary Topic
Evolutionary Algorithms and Applications
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article
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article

CONSTRUCTAL EVOLUTION OF GENETIC CODING SYSTEMS

ALBERT T. MAGNELL
14th CONSTRUCTAL LAW CONFERENCE | 10-11 October 2024 Bucharest Romania
Evolutionary Algorithms and Applications
article

CONSTRUCTAL EVOLUTION OF GENETIC CODING SYSTEMS

ALBERT T. MAGNELL
article en

Abstract

This paper is a theoretical exploration of how biological evolution may evolve itself according to the Constructal Law. The astonishing diversity of life on Earth reflects how effective evolution is at augmenting survivability within various ecological niches. Yet, the genetic coding system that drives evolution is remarkably conserved among virtually all organisms. This is perhaps indicative that the process of evolution on Earth has so far been powerful enough to meet the planet’s ecological challenges. If these challenges become increasingly intense or unstable, then for life to survive, its evolvability must evolve. Such second-order evolution may occur via fundamental changes to the genetic coding system.

14th CONSTRUCTAL LAW CONFERENCE | 10-11 October 2024 Bucharest RomaniaVol. 2024(1)
Manor Hospital (GB)
Openalex Percentile: Top 76%
Evolutionary Algorithms and Applications
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