Agent Based and Simulation Modeling: Prospects in the Field of Information Technology and Implementation in the Economy

This paper is devoted to the analysis of integration of simulation into economic science, from 1969 to 2004, Initially the simulation performed the task of finding numerical solutions to complex mathematical models. However, with the development of more complex and powerful programming languages, the scope of simulation has greatly expanded. In most of the literature on this subject simulation is perceived as a special method of creation and development of scientific theories. With the most advanced methods (for example, agent-based modeling) it is possible to obtain their content, and at the same time a strict description, which can not be achieved with the help of mathematical and verbal modeling. However, the possibility of combining methods, the recent emergence of simulation as a methodology, as well as a variety of methods creates some difficulties in the analysis of literature on the topic in terms of determining the role and potential of the use of simulation in economic research.