Knowledge Based Modeling of Financial Decision Support Systems.
Marius Liutvinavičius, Audrius Lopata · 2015
Financial markets are perceived as dynamic systems of interacting agents whose modeling and prediction are based on computer technology. Decision support systems analyze the state parameters of controlled systems and external factors in order to make the appropriate decisions. The aim of this paper is to analyze the techniques for system dynamics and decision-making process modeling. The simulation of controlled systems’ models, modeling the decision-making processes and goals modeling are connected in a whole. All different types of models are analyzed in one process area. Also the conceptual example of controlled financial process is presented.