Belief updating is the process of finding new beliefs for the nodes of a Bayes net to account for the findings that are currently known.  It is a form of probabilistic inference.  During belief updating the Bayes net model (in particular, the conditional probability tables between the nodes) is not modified at all; for that probability revision is used.  More Info

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