APPLICATION OF AN AGENT APPROACH TO SIMULATION MODELING OF THE PROCESS OF EPIDEMIC SPREAD

One of the important applications of simulation modeling methods is forecasting the spread of epidemic diseases. System-dynamic and agent-based approaches are used in this area. The goal of agent-based modeling is to obtain an understanding of these global rules, the general behavior of the system, based on assumptions about the individual, private behavior of its individual active objects and the interaction of these objects in the system. System-dynamic and agent-based models of the spread of epidemic diseases have complementary properties, and therefore, the task of jointly using these classes of models to predict the dynamics of epidemic systems is relevant and requires a comprehensive comparison of their characteristics and properties.