ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR THE DEVELOPMENT OF GAME MODELING IN ECONOMICS AND FINANCE

The article focuses on the research and application possibilities of artificial intelligence technologies for the development of game modeling practice in economics and finance. The potential of artificial intelligence technologies in overcoming the limitations typical of classical game-theoretic models traditionally used to analyze financial and economic situations is analyzed. Attention is focused on the specifics of using artificial intelligence technologies to adapt various classes of game models (matrix antagonistic games, cooperative games, positional games) for use in economics and finance. Recommendations on the use of arti ficial intelligence technologies to improve the quality of decisions based on game-theoretic modeling and the development of a professional training system for future economists and financial managers are presented.