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

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons50393

Kowald,  Axel
Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50133

Demetrius,  Lloyd
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Kowald et al. - Proc Biol Sci.pdf
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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-8689-D
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.