Belief and Decision Networks 5.1.9

Belief networks (also called Bayesian networks or causal networks) are a representation for independence amongst random variables for probabilistic reasoning under uncertainty. The purpose of this tool is to illustrate how probabilities are updated given new evidence in a belief network, and shows the details of how the variable elimination algorithm works.

Requirements:	No special requirements
Platforms:	Mac, Mac OSX
Keyword:	Algorithm,  Bayesian,  Belief,  Called,  Causal,  Details,  Elimination,  Evidence,  Illustrate,  Independence,  Network,  Networks,  Probabilities,  Representation,  Shows,  Uncertainty,  Updated,  Variable,  Works
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