Preview

The world of new economy

Advanced search

Genetics of Socio-Cultural Systems

https://doi.org/10.26794/2220-6469-2018-12-3-98-107

Abstract

The euphoria of the effectiveness of the methodology of system modelling in the study of nature and synthesis of artificial systems has prompted the scientific community to its large-scale use in the sciences, the subject of which is the human community: economics, sociology, political science, history, philosophy, etc. However, many years of work in this field have not yet led to significant success. It turned out that the systems in which the key role belongs to man — socio-cultural, are fundamentally different from natural and artificial systems, and the methods of their research are not always applicable to their analysis. We need a specific methodology for modelling socio-cultural systems, and therefore the theoretical justification of its applicability. In this article, the author provides an original classification of systemic formations, which allows to clearly divide the whole set of systems into non-intersecting subsets (classes) and to define the limits of the efficacy of the existing arsenal of system modelling. In order to expand it and extend it to the class of socio-cultural systems, the author justified the original approach to the description of system dynamics and proposed an appropriate modelling language. The author proved the analogy in the development of socio-cultural and living systems and substantiated the proposition of the expediency of initiating a new scientific stream in the study of human community activity — genetics of socio-cultural systems.

About the Author

I. N. Drogobytskii
Financial University
Russian Federation

Dr. Sci. (Econ.), Professor, Department of System Analysis in Economics

Moscow



References

1. Vernadskii V.I. Biosphere and noosphere. Moscow; 2017. 576 p. (In Russ.).

2. Gharajedaghi J. System Thinking: Managing Chaos and Complexity. Transl. from English. Minsk; 2011. 480 p. (In Russ.).

3. O’Connor J., McDermott I. The art of systems thinking. Essential Skills for Creativity and Problem Solving. Transl. from English. Moscow; 2006. 256 p. (In Russ.).

4. Ackoff R. The Art of Problem Solving. Transl. from English. Moscow; 1982. 244 p. (In Russ.).

5. Drogobytskii I.N. System cybernation of organizational management. Moscow, 2016, 333 p. (In Russ.).

6. Drogobytskii I.N. System analyses in economics. Moscow, 2017, 423 p. (In Russ.).

7. Barker J. Paradigms: The Business of Discovering the Future. Transl. from English. Moscow; 2007. 187 p. (In Russ.).

8. Nonaka I., Takeuchi H. The Knowledge-Creating Company. Transl. from English. Moscow; 2011. 384 p. (In Russ.).

9. Leskov S.L. Brainstorm. Moscow; 2012. 636 p. (In Russ.).

10. Panflova A.P. Brainstorms in collective decision making. Moscow; 2015. 320 p. (In Russ.).

11. Lebedev V.S. Fractal structure of the Universe. Astronomicheskij cirkulyar. 1998;(1553):3–4. (In Russ.).

12. Mandelbrot B. The Fractal Geometry of Nature. Transl. from English. Moscow; 2002. 312 p. (In Russ.).


Review

For citations:


Drogobytskii I.N. Genetics of Socio-Cultural Systems. The world of new economy. 2018;12(3):98-107. (In Russ.) https://doi.org/10.26794/2220-6469-2018-12-3-98-107

Views: 609


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-6469 (Print)
ISSN 2220-7872 (Online)