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On the reasons of hyperbolic growth in the biological and human world systems

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  • Dolgonosov, B.M.

Abstract

Macroevolution of the biological and human world systems in the aspect of time-dependence of their sizes is studied. These systems are considered as ‘civilizations’, which are defined here in a generalized sense as the systems having memory and producing knowledge (vital information) necessary for survival. Sizes of three types of memory – genetic, neural, and external – are estimated. Dominating one of them leads to the development of an appropriate type of civilization. The rise and development of the genetic memory was accompanied with the formation of the biota (which can be tractable as a biological civilization) and a hyperbolic growth of its biodiversity. The prevailing development of the neural memory in one of the taxa of biota led to the rise of the human civilization and to a hyperbolic growth of its population. The development of the external memory will probably lead to the extraction of a taxon (probably, a pool of countries) from the human world community, with a hyperbolic growth of the taxon's memory and fund of knowledge but without a pronounced growth of its population.

Suggested Citation

  • Dolgonosov, B.M., 2010. "On the reasons of hyperbolic growth in the biological and human world systems," Ecological Modelling, Elsevier, vol. 221(13), pages 1702-1709.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:13:p:1702-1709
    DOI: 10.1016/j.ecolmodel.2010.03.028
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    References listed on IDEAS

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    Cited by:

    1. Okuducu, Mahmut Burak & Aral, Mustafa M., 2017. "Knowledge based dynamic human population models," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 1-11.
    2. Dolgonosov, Boris M., 2016. "Knowledge production and world population dynamics," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 127-141.
    3. Boris M. Dolgonosov, 2018. "A Conceptual Model of the Relationship Among World Economy and Climate Indicators," Biophysical Economics and Resource Quality, Springer, vol. 3(1), pages 1-15, March.

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