Neural network models of a multi-agent system for forecasting students'' residual knowledge.
The scientific work is devoted to the development of a neural network model of the learning process for students agent system modeling of the labor market. This model simulates the transfer of skills and knowledge, depending on the personal characteristics of students. The system will allow the simulation to analyze the process of training young professionals and to predict their future employment prospects.