Click here to start the tool using
Java Web Start. If you are having problems running the tool, ensure that you have the
latest version of Java installed and that it is enabled in your browser. This can be
acquired from Sun's Java
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
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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.