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Article · International Journal of Electronics and Telecommunications · May 25, 2021

Cycles in Bayesian Networks

Assem Shayakhmetova, Natalya Litvinenko, Orken J. Mamyrbayev, Waldemar Wójcik, Dusmat Zhamangarin

Abstract

The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. The strict requirement of the acyclicity of the directed graph representing the Bayesian network does not allow to efficiently solve most of the problems that contain directed cycles. The modern theory of Bayesian networks prohibits the use of directed cycles. The requirement of acyclicity of the graph can significantly simplify the general theory of Bayesian networks, significantly simplify the development of algorithms and their implementation in program code for calculations in Bayesian networks..

Bayesian Modeling and Causal InferenceAdvanced Graph Theory ResearchCognitive Science and MappingBayesian networksdirected cyclesacyclicity

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