Organismic approach to developing a theory of adaptation of socio-economic systems
https://doi.org/10.35854/1998-1627-2022-3-226-239
Abstract
Aim. The presented study aims to lay the theoretical foundations of adaptation of socio-economic systems, taking as initial knowledge the principles and laws of evolution of living systems and the identified elements of isomorphism between the classes of systems under consideration.
Tasks. The authors identify the signs of isomorphism of adaptive properties of biological and socio-economic systems; describe the evolution of methodologies used for their studies using an organismic approach within the framework of development of scientific rationality; substantiate and formulate the bionic principles of adaptation of systems based on a synthesis of the concept of cybernetics and the laws of evolution of biological systems; develop a typology of adaptation of socio-economic systems; propose a model of a robust management mechanism, which includes a certain set of adaptive regulators (homeostasis and homeostatic space) for all types of systemic adaptation.
Methods. The development of insights into the adaptation of socio-economic systems on the basis of an organismic approach to its cognition as an analog of an organism with immanently inherent abilities to adapt makes it possible to define the concept of adaptation as "compensatory adaptation". Adaptation is considered as a property of systems that allows them to enter a certain stable state that ensures growth (quantitative changes), development (qualitative changes), and "mutation" (information changes and selection of reactions to exposure) at various stages of their life cycle. Bionic principles serve as initial knowledge for managing the adaptation process. According to the established scientific ideas about the adaptation of biological systems, the types of adaptation of socio-economic systems attributed to systemic adaptation are identified. The implementation of its processes is entrusted to a robust control mechanism equipped with an evolutionary computing system.
Results. Additional signs of isomorphism between socio-economic and biological systems are identified. Within the framework of the evolution of scientific rationality, a transition towards an organizational approach to the study of the essence of organizations is proposed. The definition of adaptation of socio-economic systems as a special form of compensatory adaptation is proposed. The bionic principles of adaptation of socio-economic systems that define the elements and connections of the information structure of the robust control mechanism are formulated and verified. A typology of adaptation of socio-economic systems is proposed. The capabilities of the control mechanism for the implementation of all types of adaptation with a special focus on genetic adaptation are substantiated.
Conclusion. Introduction of the concept of "adaptation" as a compensatory adjustment of socioeconomic systems to changes sets up system management to search for means of compensation at the expense of the result of adaptation costs. Verification of bionic principles and discovery of a new type for organizational systems — genetic adaptation — is a challenge to the application of robust management, the mechanism of which is equipped with genetic algorithms and other tools of evolutionary computing.
Keywords
About the Authors
M. A. AlekseevRussian Federation
Mikhail A. Alekseev, DSci, PhD in Economics, Associate Professor, Professor of the Department of Business Analytics and Statistics
6 Nizhegorodskaya str., Novosibirsk 630102
K. A. Zaykov
Russian Federation
Kirill A. Zaykov, PhD in Economics, Director of the Scientific and Educational Center "Digital Transformation of the Economy"
6 Nizhegorodskaya str., Novosibirsk 630102
E. V. Freydina
Russian Federation
Elizaveta V. Freydina, DSci, PhD in Technical Sciences, Professor, Leading Researcher of the Research Laboratory "Sustainable Development of Socio-Economic Systems"
6 Nizhegorodskaya str., Novosibirsk 630102
References
1. Toffler A. Future shock. New York: Bantam Books; 1984. 576 p. (Russ. ed.: Toffler A. Shokbudushchego. Moscow: AST; 2002. 557 p.).
2. Organization management. Encyclopedic dictionary. Moscow: Infra-M; 2001. 882 p. (In Russ.).
3. Ozhegov P.S. Dictionary of the Russian language. Moscow: Russkii yazyk; 1989. 922 p. (In Russ.).
4. Reeves M., Levin S. Think biologically: Messy management for a complex world. BCG. July 18, 2017. URL: https://www.bcg.com/publications/2017/think-biologically-messy-manage-ment-for-complex-world.aspx (accessed on 08.07.2021).
5. Alekseev M.A., Alekseev E.E., Freydina E.V., Tropin A.A. Parametric robustness as a technological and financial tool for management of economic systems. Vestnik NGUEU = Vestnik NSUEM. 2019;(4):143-160. (In Russ.). DOI: 10.34020/2073-6495-2019-4-143-160
6. Alekseev M.A., Freydina E.V. To the theory of flexible adaptation of economic systems through robust control. Fundamental’nye issledovaniya = Fundamental Research. 2019;(6):7-17. (In Russ.).
7. Bertalanffу L. von. General system theory: Foundations, development, applications. New York: George Braziller Inc.; 1968:3-17. (Russ. ed.: Bertalanffу L. Obshchaya teoriya sistem— obzor problem i rezul’tatov. In: Sistemnye issledovaniya. Ezhegodnik. Moscow: Nauka; 1969:30-54.).
8. Beer S. Cybernetics and management. London: English University Press; 1959. 240 p. (Russ. ed.: Beer St. Kibernetika i upravlenie proizvodstvom. Moscow: Fizmatgiz; 1963. 274 p.).
9. Raynor M.E. The strategy paradox: Why committing to success leads to failure (and what to do about it). New York, London: Crown Business Publishing; 2007. 320 p. (Russ. ed.: Raynor M. Strategicheskii paradoks. Moscow: Urait; 2009. 399 p.).
10. Stepin V.S. Historical types of scientific rationality in their relation to the problem of complexity. In: Arshinov V.I., ed. Synergetic paradigm. Synergetics of innovative complexity. Moscow: Progress-Traditsiya; 2011:37-46. (In Russ.).
11. Anokhin P.K. Essays on the physiology of functional systems. Moscow: Meditsina; 1975. 477 p. (In Russ.).
12. Moiseev N.N. Algorithms of development. Moscow: Nauka; 1987. 304 p. (In Russ.).
13. Budanov V.G., Arshinov V.I., Svirskii Ya.I., Lepskii V.E. Complexity and the problem of the unity of knowledge. Iss. 1: Toward a strategy for understanding complexity. Moscow: RAS Institute of Philosophy; 2018. 105 p. URL: https://iphras.ru/uplfile/root/books/2018/Budanov.pdf (accessed on 08.07.2021). (In Russ.).
14. Lepskii V.E. Evolution of ideas about management (methodological and philosophical analysis). Moscow: Cogito-Centre; 2015. 107 p. (In Russ.).
15. Subetto A.I. Theory of knowledge and systemology of education. St. Petersburg: Asterion; 2018. 142 p. URL: http://noocivil.esrae.ru/pdf/2018/5/1852.pdf (accessed on 08.07.2021). (In Russ.).
16. Alekseev M.A., Freydina E.V., Tropin A.A. On overcoming strategic uncertainty through the integration of robust control and scenario planning. Ekonomika i upravlenie = Economics and Management. 2019;(9):97-106. (In Russ.). DOI: 10.35854/1998-1627-2019-9-97-106
17. North D.C. Understanding the process of economic change. Princeton, NJ: Princeton University Press; 2010. 200 p. (Russ. ed.: North D. Ponimanie protsessa ekonomicheskikh izmenenii. Moscow: HSE Publ.; 2010. 256 p.).
18. Taleb N.N. The black swan. The impact of the highly improbable. New York: Random House; 2007. 366 p. (Russ. ed.: Taleb N.N. Chernyy lebed’. Pod znakom nepredskazuemosti. Moscow: KoLibri; 2009. 528 p.).
19. Taleb N.N. Skin in the game: Hidden asymmetries in daily life. London: Allen Lane; 2018. 279 p. (Russ. ed.: Taleb N.N. Riskuya sobstvennoi shkuroi. Skrytaya asimmetriya povsednevnoi zhizni. Moscow: KoLibri, Azbuka-Attikus; 2018. 384 p.).
20. Balatsky E. The non-ergodicity of the social world: A modern doctrine. Book review: Taleb N.N. (2018) Skin in the game: Hidden asymmetries in daily life, Moscow: KoLibri, Azbuka-Attikus (in Russian). Mir Rossii. Sotsiologiya. Etnologiya = Universe of Russia. Sociology. Ethnology. 2020;29(1):174-193. (In Russ.). DOI: 10.17323/1811-038X-2020-29-1-174-193
21. Kotler Ph. Marketing essentials. Englewood Cliffs, NJ: Prentice-Hall; 1984. 556 p. (Russ. ed.: Kotler Ph. Osnovy marketinga. Moscow: Progress; 1991. 733 p.).
22. Porter M.E. Competitive strategy: Techniques for analyzing industries and competitors. New York: The Free Press; 1998. 397 p. (Russ. ed.: Porter M. Konkurentnaya strategiya: metodika analiza otraslei i konkurentov. Moscow: Alpina Business Books; 2007. 454 p.).
23. Alekseev M.A., Glinskii V.V., Serga L.K., Freydina E.V. Generation and reception of the information component of robust control of socio-economic systems. Vestnik NGUEU =Vestnik NSUEM. 2022;(1):10-31. (In Russ.).
24. Belov N.A. The doctrine of the internal secretion of organs and tissues and its significance in modern biology. Novoe v meditsine. 1911;(22):1228-1236. (In Russ.).
25. Budanov V.G. Methodology and principles of synergetics. Filosofiya osviti = Philosophy of Education. 2006;(1):143-172. (In Russ.).
26. Kamenskii A.A., Kriksunov E.A., Pasechnik V.V. Biology. General biology. Grade 10-11. Moscow: Drofa; 2005. 367 p. (In Russ.).
27. Lefevr V.A. On self-organizing and self-reflexive systems. Refleksivnye protsessy i upravlenie = Reflexive Processes and Control. 2005;(1):29-35. (In Russ.).
28. Bozhday A.S., Evseeva Yu.I., Gudkov A.A. Data mining methods application in reflective adaptation realization in e-learning systems. Otkrytoe obrazovanie = Open Education. 2017;21(4):13-20. (In Russ.). DOI: 10.21686/1818-4243-2017-4-13-20
29. Mintzberg H. Structure in fives. Designing effective organizations. Englewood Cliffs, NJ: Prentice-Hall; 1992. 312 p. (Russ. ed.: Mintzberg H. Struktura v kulake: sozdanie effektivnoi organizatsii. St. Petersburg: Piter; 2001. 512 p.).
30. Piegat A. Fuzzy modeling and control. Heidelberg: Physica-Verlag; 2001. 728 p. (Studies in Fuzziness and Soft Computing. Vol. 69). (Russ. ed.: Piegat A. Nechetkoe modelirovanie i upravlenie. Moscow: Binom. Laboratoriya znanii; 2013. 798 p.).
31. Kureichik V.V., Kureichik V.M., Rodzin S.I. Theory of evolutionary computing. Moscow: Fizmatlit; 2012. 260 p. (In Russ.).
Review
For citations:
Alekseev M.A., Zaykov K.A., Freydina E.V. Organismic approach to developing a theory of adaptation of socio-economic systems. Economics and Management. 2022;28(3):226-239. (In Russ.) https://doi.org/10.35854/1998-1627-2022-3-226-239