Hybrid Simulation as a Key Tool for Socio-economic Systems Modeling

The purpose of this work is to prepare a methodological base for modeling socio-technical and socio-economic systems. The development of digital modeling practices will improve the quality of management decisions, as well as create a synergetic effect of the use of digital models in various sectors of the real sector of the economy. The need to solve this problem is due to an increase in complexity and a decrease in the level of determinism of socio-economic systems in comparison with technical systems. This paper presents an analytical review of the basic modeling paradigms as the basis of hybrid models capable of solving complex problems of socio-economic systems. This paper also provides an overview of the modeling tools of technical systems that are applicable in the modeling of socio-economic systems: dynamic forecasting, interval approach, sensitivity analysis, calibration, verification, validation. Using these tools will improve the accuracy and quality of the model. The presented research will serve as an analytical basis for modeling socio-technical and socio-economic systems.