Shayakhmetova A.S., Satymbekov M.

Abstract. This article provides an analytical review of the most common modern software for Bayesian networks. The history of development of Bayesian networks was considered. The relevance of the application of Bayesian networks in various areas of research has been featured. The most common software for Bayesian networks were considered. The comparative analysis of their characteristics was carried out and tools of development were considered. There were identified the features of the functioning of Bayesian networks in the financial sphere for risk research, in development of various expert systems, artificial intelligence systems, etc. The advantages of Bayesian networks (take into account cause-effect relationships, uncertainties, the ability to work with incomplete and inaccurate information and take into account random factors) are shown in creation modern intellectual technologies. The advantages of application of Bayesian networks and the prospects of their using for development of complex applications have been analyzed.
Key words: Bayesian networks, analytical review, software.

МРНТИ 28.19.15, №2(2018г.)