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The Evolutionary and Creative Processesin Biological Systems

Published: 20 February 2013
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Abstract

It is considered the computational models of biological systems with structured uncertainty which is determined by mean of number of the arbitrary coefficients. Any biological system interacts with its changing environment and its viability depends on its adaptability. The number of arbitrary coefficients in the structure of equivalent equations of biological system changes in the process of learning. In systems with more than six variables, the number of arbitrary coefficients increases first, and then, passing through the maximum, begins to decrease. This phenomenon makes it possible to explain the processes of system growth, complication and death in biological, economical and physical-engineering systems. The treatment processes are considered as the evolutionary processes, the genetic processes are considered as creative processes. We use the linguo-combinatorial method of investigation of complex systems, in taking key words for building equivalent equations. This approach permit to investigate the adaptability of different biological systems.

Published in Computational Biology and Bioinformatics (Volume 1, Issue 1)
DOI 10.11648/j.cbb.20130101.11
Page(s) 1-5
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

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Keywords

Adaptability, Combinatorial Simulation, Uncertainty, Appearance, Essence, General Systems Theory, Evolution, Creation, Physics, Biology, Social-Economics

References
[1] Orbely L. : Main problems and methods of evolutionary physiology. ( in Russian) Selected works, vol.1 (1961).
[2] Ignatiev, M.B.: Golonomical automatic systems.(in Russian) Publ..AN USSR, Moscow-Leningrad , 204 p.(1963).
[3] Ignatiev, M.:Simulation of Adaptational Maximim Phenomenon in Developing Systems. Proceedings of The SIMTEC’93 - 1993 International Simulation Technology Conference, San Francisco, USA.(1993).
[4] Ignatyev, M., Makina, D., Petrischev, N., Poliakov, I., Ulrich, E., Gubin, A.: Global model of organism for decision making support. Proceedings of the High Performance Computing Symposium – HPC 2000, Ed. A. Tentner, 2000 Advanced Simulation Technologies Conference, Washington D.C. USA p.66-71(2000).
[5] Ignatyev, M.B.: Linguo-combinatorial method for complex systems simulation. Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics, vol.XI, Computer science II, Orlando, USA p.224-227.(2002).
[6] Ignatyev, M.B.: The study of Adaptation Phenomenon in Complex Systems. AIP Conference Proceedings, Melville, New York, vol.839, p.322-330.(2006).
[7] Ignatyev, M.B.: Information technology in micro-, nano- and optoelectronics.(in Russian) Monograph, St-Petersburg, 200 p.(2008).
[8] Ignatyev, M.B.: Cybernetical picture of world.(in Russian) St-Petersburg, 448 p.(2011).
[9] Ignatyev, M.B.: Linguo-combinatorial simulation of complex systems. Journal of Mathematics and System Science, vol.2, Number 1, January 2012, p.58-66.(2012).
[10] Ignatyv M.B. The simulation of complex biological systems. Book of Abstracts of ECCS’12, Brussels, pp. 116-117,(2012).
[11] Bagrov J., Manusova N.: Disease from the point of view of evolution. Journal of Evolutionary Biochemistry and Physiology, Vol. 48, N 4, pp. 405-408, (2012).
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    Mikhail Ignatyev, Daria Surzhenko. (2013). The Evolutionary and Creative Processesin Biological Systems. Computational Biology and Bioinformatics, 1(1), 1-5. https://doi.org/10.11648/j.cbb.20130101.11

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    ACS Style

    Mikhail Ignatyev; Daria Surzhenko. The Evolutionary and Creative Processesin Biological Systems. Comput. Biol. Bioinform. 2013, 1(1), 1-5. doi: 10.11648/j.cbb.20130101.11

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    AMA Style

    Mikhail Ignatyev, Daria Surzhenko. The Evolutionary and Creative Processesin Biological Systems. Comput Biol Bioinform. 2013;1(1):1-5. doi: 10.11648/j.cbb.20130101.11

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  • @article{10.11648/j.cbb.20130101.11,
      author = {Mikhail Ignatyev and Daria Surzhenko},
      title = {The Evolutionary and Creative Processesin Biological Systems},
      journal = {Computational Biology and Bioinformatics},
      volume = {1},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.cbb.20130101.11},
      url = {https://doi.org/10.11648/j.cbb.20130101.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20130101.11},
      abstract = {It is considered the computational models of biological systems with structured uncertainty which is determined by mean of number of the arbitrary coefficients. Any biological system interacts with its changing environment and its viability depends on its adaptability. The number of arbitrary coefficients in the structure of equivalent equations of biological system changes in the process of learning. In systems with more than six variables, the number of arbitrary coefficients increases first, and then, passing through the maximum, begins to decrease. This phenomenon makes it possible to explain the processes of system growth, complication and death in biological, economical and physical-engineering systems. The treatment processes are considered as the evolutionary processes, the  genetic processes are considered as creative processes. We use the linguo-combinatorial method of investigation of complex systems, in taking key words for building equivalent equations. This approach permit to investigate the adaptability of different biological systems.},
     year = {2013}
    }
    

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    T1  - The Evolutionary and Creative Processesin Biological Systems
    AU  - Mikhail Ignatyev
    AU  - Daria Surzhenko
    Y1  - 2013/02/20
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    JF  - Computational Biology and Bioinformatics
    JO  - Computational Biology and Bioinformatics
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    AB  - It is considered the computational models of biological systems with structured uncertainty which is determined by mean of number of the arbitrary coefficients. Any biological system interacts with its changing environment and its viability depends on its adaptability. The number of arbitrary coefficients in the structure of equivalent equations of biological system changes in the process of learning. In systems with more than six variables, the number of arbitrary coefficients increases first, and then, passing through the maximum, begins to decrease. This phenomenon makes it possible to explain the processes of system growth, complication and death in biological, economical and physical-engineering systems. The treatment processes are considered as the evolutionary processes, the  genetic processes are considered as creative processes. We use the linguo-combinatorial method of investigation of complex systems, in taking key words for building equivalent equations. This approach permit to investigate the adaptability of different biological systems.
    VL  - 1
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Author Information
  • St-Petersburg State University of Aerospace Instrumentation, 67 Bolshaja Morskaja uliza, St-Petersburg, Russia

  • Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS, 44 Morisa Toresa prospect, St-Petersburg, Russia

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