Overview of methods for modeling complex socio-economic systems based on an agent approach

Socio-economic processes and phenomena are complex systems. In this regard, the rational and optimal management of them sets a number of serious tasks. Therefore, the study of theories, methods and techniques of effective modeling and dynamics of socio-economic systems is a very promising area of research. Currently, there are no universal methods and means for modeling socio-economic systems. Well-known methods for modeling socio-economic systems cover various approaches, including system dynamics, Bayesov networks, agent models, dynamic stochastic balance models, etc. This work gives an overview of the latest achievements in the field of agent modeling of complex socio-economic systems.