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Using agent-based models to expand strategic functionality of the Kuzbass situation centers

Author

Listed:
  • V. L. Makarov
  • A. R. Bakhtizin
  • E. D. Sushko
  • V. I. Abramov
  • D. S. Evdokimov

Abstract

Development of regional situational centres in the Russian Federation is one of the priority trends of digitalization which leads the organization of state management to a new level. Integration of such centres into a unified system of distributed situational centers will allow performing monitoring of social, economic and ecological spheres both locally and in the whole country which increases the efficiency of state management. The main difference of the situational centres of the new generation is the development of analytical unit which exploits the opportunities of economic and mathematical and computer modeling of social processes in the systems for maintaining of management decisions. Modern systems for maintaining of management decisions are able to maintain search and visualization of data and can be used for estimating the consequences of implementation of management decisions planned. Thus, within the regional situational centre it is possible to create a polygon for approbating management decisions and choosing the most appropriate options. The authors introduce the concept of agent-oriented social ecological economical model as a digital analogue of the Kemerovo region. The model is assigned for making computer experiments on forecasting social-economic and ecological indexes of the region under different conditions of outer environment and during realization of different projects. The tool can be developed further on depending on the region’s specificity and the current tasks of the local authorities.

Suggested Citation

  • V. L. Makarov & A. R. Bakhtizin & E. D. Sushko & V. I. Abramov & D. S. Evdokimov, 2020. "Using agent-based models to expand strategic functionality of the Kuzbass situation centers," Russian Journal of Industrial Economics, MISIS, vol. 13(3).
  • Handle: RePEc:ach:journl:y:2020:id:854
    DOI: 10.17073/2072-1633-2020-3-300-307
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