Modeling and Stabilization of an Irregular Pricing Mechanism on a Network of Local Markets

Abstract

The accuracy of forecasting the expected values of economic indicators under conditions of irregular dynamics has a key role in taking optimal management decision-making. The solution of this current and complex task requires the use of modern artificial intelligence technologies, the wide introduction of which into the economy is aimed at by the Federal project ``Artificial Intelligence''. We demonstrate the effectiveness of combining artificial intelligence technologies and classical methods of mathematical control to detect irregular dynamics in the pricing mechanism and stabilize the revealed irregular mode through a small control action using a pricing model in the market of short-term goods as an example.