Abstract
This article is devoted to the expansion of the ideas of evolutionary cybernetics to the problems of cyber-physical systems design. The main objective of such design is to reproduce the ability of an adaptive evolution that is proper to biological systems in the cyber-physical systems. This ability specific to biologic systems provides their sustainable development in a wide range of criteria of their functioning. More and more, the principle of variety of the processes running simultaneously in a complex system becomes the principal mechanism of realization of adaptive evolution. Mathematical representation and the analysis are made of this mechanism of variety in biological structures of various level of complexity. For pre-biological structures, the evolutionary value of multialternativity is explained in the processes of their streamlining and self-copying. Evolutionary models of the elementary macromolecules–quasitypes and the model of a syser with linked matrixes are investigated. It is shown below that the emergence and stable existence of pre-biological structures are possible as a result of a variety of the results of copying providing the cross mutational streams as well as the general evolutionary progress of population in general. As a model of the population evolution, its formal representation is offered as the discrete uniform Markov’s process altering its state under the influence of complementary streams of events in the external environment and accumulation of a gene pool. For a vector of probabilities of these states the differential equation of Kolmogorov was composed hence, its solution gave the chance to obtain a quantitative assessment of a genetic variety’s role as an emergency condition of either the evolution of biological population or its degeneration. The conclusion is made about the significance of the property of multialternativity as the mechanism of realization of the general cybernetic principles of creation the cyber-physical systems.
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References
Lee EA, Seshia SA (2011) Introduction to Embedded Systems—A Cyber-Physical Systems Approach. LeeSeshia.org
Fitzgerald, J., Larsen, P.G., Verhoef, M. (eds.): Collaborative Design for Embedded Systems: Co-modelling and Cosimulation. Springer, Berlin, Heidelberg (2014)
Krassilov, V.A.: Epistemological approaches to the systemic evolution theory (SET). Bot. Pac. J. Plant Sci. Conserv. 4(1), 3–6 (2015)
Galimov, E.M.: Vernadsky institute of geochemistry and analytical chemistry: scientific results in 2011–2015. Geochem. Int. 54(13), 1096–1135 (2016)
Ponomarenko, A.G., Prokin, A.A.: Review of paleontological data on the evolution of aquatic beetles (coleoptera). Paleontol. J. 45(13), 1383–1412 (2015)
Nikisianis, N., Stamou, G.P.: Harmony as ideology: questioning the diversity–stability hypothesis. Acta. Biotheor. 64(1), 33–64 (2016)
Dmitriev, V.Y.: Evolution of biodiversity: hyperbola or exponent? Paleontol. J. 45(6), 705–708 (2011)
Podvalny, S.L., Vasiljev, E.M.: A multi-alternative approach to control in open systems: origins, current state, and future prospects. Autom. Remote Control 76(8), 1471–1499 (2015)
Podvalny, S.L., Vasiljev, E.M.: Evolutionary principles for construction of intellectual systems of multi-alternative control. Autom. Remote Control 76(2), 311–317 (2015)
Convention on Biological Diversity. United Nations. Treaty Series 1760(30619), (1992)
Visconti P, Elias VV, Sousa Pinto I et al.: Status, trends and future dynamics of biodiversity and ecosystems underpinning nature’s contributions to people. The IPBES regional assessment report on biodiversity and ecosystem services for Europe and Central Asia, pp 187–384. IPBES, Bonn (2018)
Dyson, F.J.: A model for the origin of life. J. Mol. Evol. 18(5), 344–350 (1982)
Podvalny, S.L., Vasiljev, E.M., Barabanov, V.F.: Models of multi-alternative control and decision-making in complex systems. Autom. Remote Control 75(10), 1886–1890 (2014)
Kato, M. (ed.): The Biology of Biodiversity. Springer, Tokyo (2000)
Dreyer, G.D.: Saving biological diversity: an overview. In: Askins, R.A., Dreyer, G.D., Visgilio, G.R., et al. (eds.) Saving Biological Diversity: Balancing Protection of Endangered Species and Ecosystems, pp. 1–11. Springer, Boston (2008)
Mammides, C.: European Union’s conservation efforts are taxonomically biased. Biodivers. Conserv. 5, 1291–1296 (2019)
Fisher RA (2011) The Genetical Theory of Natural Selection. Oxford University Press
Eigen M, Gardiner W, Schuster P at al (1981) The origin of genetic information. Sci Am 244(4):88–118
Anderson, P.W.: Suggested model for prebiotic evolution: the use of chaos. Proc. Nat. Acad. Sci. U. S. A. 80(11), 3386–3390 (1983)
Crick, F.H.: The origin of the genetic code. J. Mol. Biol. 38(3), 367–379 (1968)
White DH (1980) A theory for the origin of a self-replicating chemical system. Natural selection of the autogen from short random oligomers. J. Mol. Evol.16(2):121–147
Red’ko, V.G.: Mechanisms of interaction between learning and evolution. Biologically Inspired Cogn. Architect. 22, 95–103 (2017)
Plenk K, Bardy K, Höhn M at al.: Long-term survival and successful conservation? Low genetic diversity but no evidence for reduced reproductive success at the north-westernmost range edge of Poa badensis (Poaceae) in Central Europe. Biodivers. Conserv. 28(5):1245–1265 (2019)
Broeck, A.V., Cox, K., Melosik, I., et al.: Genetic diversity loss and homogenization in urban trees: the case of Tilia × europaea in Belgium and the Netherlands. Biodivers. Conserv. 27(14), 3777–3792 (2018)
Tilman, D.: Causes, consequences and ethics of biodiversity. Nature 405, 208–211 (2000)
Olvera, J.A.C.: Multi-alternative sequential analysis as a realistic model of biological decision-making. Ph.D. Thesis, University of Sheffield (2012)
Zamdborg, L., Spirov, A.V., Holloway, D.M., at al.: Forced evolution in silico by artificial transposons and their genetic operators: the ant navigation problem. Inf. Sci. 306:88–110 (2015)
Dawkins, R.: The Selfish Gene. Oxford University Press, USA (2016)
Iordansky, N.N.: Functional relationships in the jaw apparatus of the chameleons and the evolution of adaptive complexes. Biol. Bull. 43(9), 1195–1202 (2016)
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Podvalny, S., Vasiljev, E. (2020). Simulation of the Multialternativity Attribute in the Processes of Adaptive Evolution. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Advances in Design & Modelling. Studies in Systems, Decision and Control, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-32579-4_13
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