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Preface: Keep in mind when doing tutorials that there is a great deal of assistance available from Netica's onscreen help, often about the exact networks of the tutorials. The Online Help is the best source for up-to-date documentation on Netica's features. For suggested guidelines, read: How to approach this tutorial Note: the links in this table of contents will open in a new tab, replacing itself when another topic is clicked. If you have clicked on a link and it doesn't appear to be opening, check the other Tutorial tabs open in your browser. A. Introduction to Bayes Nets What is a Bayes Net? Why are they useful? Why are they called Bayes nets? What are they used for? Automated diagnosis Prediction Financial risk management, portfolio allocation, insurance Modeling ecosystems Sensor fusion Monitoring and alerting Interesting Properties of Bayes Nets Using a Bayes Net Compiling the net Entering findings positive state findings negative findings likelihood findings removing findings Probabilistic Inference Compiling, revisited Explaining away Blocking Basic Decision Making Utility Nodes Decision Nodes Techniques for getting good valuations    References

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