Literature DB >> 33800132

An Evolution Based on Various Energy Strategies.

Alexander O Gusev1, Leonid M Martyushev1,2.   

Abstract

The simplest model of the evolution of agents with different energy strategies is considered. The model is based on the most general thermodynamic ideas and includes the procedures for selection, inheritance, and variability. The problem of finding a universal strategy (principle) as a selection of possible competing strategies is solved. It is shown that when there is non-equilibrium between the medium and agents, a direction in the evolution of agents arises, but at the same time, depending on the conditions of the evolution, different strategies can be successful. However, for this case, the simulation results reveal that in the presence of significant competition of agents, the strategy that has the maximum total energy dissipation of agents arising as a result of evolution turns out to be successful. Thus, it is not the specific strategy that is universal, but the maximization of dissipation. This result discovers an interesting connection between the basic principles of Darwin-Wallace evolution and the maximum entropy production principle.

Entities:  

Keywords:  Darwin evolution; Lotka and Odum principles; maximum entropy production principle

Year:  2021        PMID: 33800132      PMCID: PMC7998875          DOI: 10.3390/e23030317

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  6 in total

Review 1.  The Thermodynamics of Marine Biogeochemical Cycles: Lotka Revisited.

Authors:  Joseph J Vallino; Christopher K Algar
Journal:  Ann Rev Mar Sci       Date:  2015-10-28

2.  Contribution to the Energetics of Evolution.

Authors:  A J Lotka
Journal:  Proc Natl Acad Sci U S A       Date:  1922-06       Impact factor: 11.205

3.  Life Defined in Terms of Entropy Production: 20th Century Physics Meets 21st Century Biology.

Authors:  Leonid M Martyushev
Journal:  Bioessays       Date:  2020-09       Impact factor: 4.345

Review 4.  The Price Equation Program: Simple Invariances Unify Population Dynamics, Thermodynamics, Probability, Information and Inference.

Authors:  Steven A Frank
Journal:  Entropy (Basel)       Date:  2018-12-16       Impact factor: 2.524

5.  The Fundamental Equations of Change in Statistical Ensembles and Biological Populations.

Authors:  Steven A Frank; Frank J Bruggeman
Journal:  Entropy (Basel)       Date:  2020-12-10       Impact factor: 2.524

6.  Universal expressions of population change by the Price equation: Natural selection, information, and maximum entropy production.

Authors:  Steven A Frank
Journal:  Ecol Evol       Date:  2017-04-04       Impact factor: 2.912

  6 in total

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