# Center for Analysis and Design of Intelligent Agents

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public:t-622-arti-14-1:lab_5_-_bayesian_networks

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public:t-622-arti-14-1:lab_5_-_bayesian_networks [2014/03/04 10:55]
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public:t-622-arti-14-1:lab_5_-_bayesian_networks [2014/03/04 10:59] (current)
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* http://www.cs.cmu.edu/~javabayes/ (a slightly older Java applet)   * http://www.cs.cmu.edu/~javabayes/ (a slightly older Java applet)

-Here is a short explanation on how to use the first toolThe application has two tabs "Create" and "Solve". In "Create" you can create and modify a Bayesian network, in "Solve" you can compute arbitrary probabilities using the network.+==== Short explanation on how to use the first tool ====
+
+The application has two tabs "Create" and "Solve". In "Create" you can create and modify a Bayesian network, in "Solve" you can compute arbitrary probabilities using the network.
Suppose you have a network with nodes A and B, where B depends on A. Suppose you have a network with nodes A and B, where B depends on A.
To create the network, you need to: To create the network, you need to:
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* click on "Query" and then on node A (select Brief query mode if asked).   * click on "Query" and then on node A (select Brief query mode if asked).
* You should now see the probabilities for <latex>\$P(A)\$</latex> and <latex>\$P(\neg A)\$</latex> under the condition that B = false.   * You should now see the probabilities for <latex>\$P(A)\$</latex> and <latex>\$P(\neg A)\$</latex> under the condition that B = false.
+
+==== Laws of Probabilities ====

The following laws of probabilities might be helpful for developing formulas: The following laws of probabilities might be helpful for developing formulas: