...networks (BNs) have established fairly well as useful symbols of knowledge for reasoning under uncertainty quite recently.However, the modelling ideas they are based on have been around for some time. The statistician Wright  first introduced the representation in 1921 for the analysis of crop failure. Many researches [4, 5, 9, 14, 15] recreated it in different names, such as causal network, causal probabilistic network, graphical probability networks, belief network, and influence diagram. Bayesian networks, are also called, generative models, probabilistic cause-effect models or causal models.
BNs are graphical models that set probabilistic relationships among variables... 1 Introduction Bayesian...