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  Directionaliry theory : a computational study of an entropic principle in evolutionary processes

Kowald, A., & Demetrius, L. (2005). Directionaliry theory: a computational study of an entropic principle in evolutionary processes. Proceedings of the Royal Society of London. Series B: Biological Sciences (London), 272(1564), 741-749. Retrieved from 10.1098/rspb.2004.3012.

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Genre: Journal Article
Alternative Title : Proc R Soc Lond (Biol)

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Kowald et al. - Proc Biol Sci.pdf (Any fulltext), 302KB
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Kowald et al. - Proc Biol Sci.pdf
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Kowald, Axel1, Author           
Demetrius, Lloyd2, Author           
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1Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433554              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

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Free keywords: evolution entropy fitness computer simulation
 Abstract: Analytical studies of evolutionary processes based on the demographic parameter entropy—a measure of the uncertainty in the age of the mother of a randomly chosen newborn—show that evolutionary changes in entropy are contingent on environmental constraints and can be characterized in terms of three tenets: (i) a unidirectional increase in entropy for populations subject to bounded growth constraints; (ii) a unidirectional decrease in entropy for large populations subject to unbounded growth constraints; (iii) random, non-directional change in entropy for small populations subject to unbounded growth constraints. This article aims to assess the robustness of these analytical tenets by computer simulation. The results of the computational study are shown to be consistent with the analytical predictions. Computational analysis, together with complementary empirical studies of evolutionary changes in entropy underscore the universality of the entropic principle as a model of the evolutionary process.

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Language(s): eng - English
 Dates: 2005-04-07
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: eDoc: 265191
URI: 10.1098/rspb.2004.3012
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Title: Proceedings of the Royal Society of London. Series B: Biological Sciences (London)
  Alternative Title : Proc R Soc Lond (Biol)
Source Genre: Journal
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Pages: - Volume / Issue: 272 (1564) Sequence Number: - Start / End Page: 741 - 749 Identifier: ISSN: 1471-2954