THE POTENTIAL OF USING GENERATIVE ARTIFICIAL INTELLIGENCE TO SIMULATE THE RESILIENCE OF REGIONAL SOCIO-ECONOMIC SYSTEMS

Minimization of human involvement in the construction of simulation models is an urgent task, the solution of which is in demand in the practice of modeling the life cycle of complex dynamic systems. One of the ways to solve it is to adapt existing solutions in the field of generative artificial intelligence to the specifics of developing computer models of complex systems. The article discusses the main areas of automation of simulation modeling using modern artificial intelligence technologies. The authors propose concepts for using large-scale language models to generate scenarios for simulation modeling of the resilience of regional socio-economic systems. Theoretical and practical issues of implementing the proposed solutions in modern simulation environments are considered. A description of a generalized algorithm for assessing the resilience of regional systems "Business-Community-Government" is given, built on the basis of integrating simulation modeling and generative artificial intelligence.