Agent-based modeling in financial markets

After stabilization the two main paradigms of classical and behavioral finance in the second half of the twentieth century some problems s arose about the validity of researches such as Complexity of the behavior of investors , Retrospective data and limiting rules on the confidentiality of personal accounts and financial information to investors. This problem creates a new approach in the field of Financial Studies that is Agent – based modeling approach which is based on the concepts of artificial intelligence, simulation, and creating artificial financial market.  In This paper will discuss the agent-based approach and its application in financial markets, most software for the creation of artificial financial markets and the use of agent-based models in the classical and behavioral finance. Based on the results of this research agent-based modeling approach beside of classical and behavioral finance paradigm can increase the accuracy and efficiency of the financial markets researches.