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 |
| Creative Commons |
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 |
Adaptability, Combinatorial Simulation, Uncertainty, Appearance, Essence, General Systems Theory, Evolution, Creation, Physics, Biology, Social-Economics
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APA Style
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
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
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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Download@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}
}
TY - JOUR T1 - The Evolutionary and Creative Processesin Biological Systems AU - Mikhail Ignatyev AU - Daria Surzhenko Y1 - 2013/02/20 PY - 2013 N1 - https://doi.org/10.11648/j.cbb.20130101.11 DO - 10.11648/j.cbb.20130101.11 T2 - Computational Biology and Bioinformatics JF - Computational Biology and Bioinformatics JO - Computational Biology and Bioinformatics SP - 1 EP - 5 PB - Science Publishing Group SN - 2330-8281 UR - https://doi.org/10.11648/j.cbb.20130101.11 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 IS - 1 ER -
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