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BAYESIAN NETWORKS
The Bayesian Network approach merges and supersedes existing approaches
coming from Artificial Intelligence and Data Mining, both symbolic and statistical
ones. Bayesian Networks are rigorously justified, provide a distributed knowledge
representation, and are as understandable as a rule base.
They deal particularly well with uncertainty, and they can be manually generated
by consultation of an expert, or inductively built by machine learning.
The biggest ones in Computer Science acknowledge Bayesian Networks as a key
to their future success, just because they are going to be the basis of a decision
methodology able to solve the problems of today's technology.
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