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CSP
Consistency for CSPs
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SLS for CSPs
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Decision Trees
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bayes
Belief and Decision Networks
version 5.1.10
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Description:
Bayesian Networks, also called Belief or Causal Networks, are a part of probability theory and are important for reasoning in AI. They are a powerful tool for modelling decision-making under uncertainty. The purpose of this tool is to illustrate the way in which Bayes Nets work, and how probabilities are calculated within them.

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This tool was written by Kyle Porter, David Poole, Jacek Kisyński, Shinjiro Sueda, and Byron Knoll, with help from Alan Mackworth, Holger Hoos, Peter Gorniak, and Cristina Conati.

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