摘要：The efficient development of propagation algorithms followed by the availability to easily employ certain commercial software systems, as well as the increase of the collaborative applications number have turned the Bayesian Belief Networks (BBNs) into attractive models for various fields researchers, as it has been used since the beginning of the 1990s. After two decades of studies, Bayesian Belief Networks were successful in developing models for fields like: artificial intelligence, medical diagnosis and computer networks analysis.
