Main Approaches to Neuro-Evolutionary Imitation Modeling of Macroeconomic Systems

The current state of methodological approaches to agent-based modeling of economic systems is considered. Critical observations concerning classical modeling methods are systematized, the main points are derived, the solution of which should be provided by a new methodology. This study may be useful to specialists in the field of machine learning, macroeconomic forecasting, and evolutionary methods.