Моделирование и стабилизация нерегулярного механизма ценообразования на сети локальных рынков

Дифференциальные уравнения и процессы управления. 2023. № 4. С. 53–66.

Alexeeva T., Кузнецов Н. В., Мокаев Т. Н., Посудин К. М.

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. This current and complex task can be effectively solved using modern methods based on artificial intelligence, the wide introduction of which into the economy is aimed at by the Federal project "Artificial Intelligence". We show the effectiveness of combining artificial intelligence 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.

Keywords: искусственный интеллект, хаос, chaos, нелинейная динамика, nonlinear dynamics, pricing model, модель ценообразования, unstable periodic orbit, Henon map, Отображение Эно, нестабильная периодическая орбита, deep machine learning, artificial intelligence, глубокое машинное обучение