Bayesian network

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Bayesian network

A form of artificial intelligence—named for Bayes’ theorem—which calculates probability based on a group of related or influential signs. Once a Bayesian network AI is taught the symptoms and probable indicators of a particular disease, it can assess the probability of that disease based on the frequency or number of signs in a patient.
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The first three chapters (Introduction, Objective Bayesianism, Motivation) include basic terminology and concepts that set the stage for development in the next six chapters (Updating, Predicate Languages, Objective Bayesian Nets, Probabilistic Logic, Judgement Aggregation, Languages and Relativity) followed by the concluding chapter (Objective Bayesianism in Perspective).
Like neural networks, Bayesian nets (also known as belief networks) are collections of interconnected nodes, but the similarity stops there.
9 Bayesian Nets II: Constructing Probability Tables.
11 Obtaining a Coherent Solution II: Bayesian Nets.
Bayesian nets and causality; philosophical and computational foundations.

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