Lab6 - Bayesian belief networks (BBN), (5pts)
In this lab you will learn to model and use a small BBN using the Hugin Lite software. Create a folder Lab6BBN and save your work there.
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Watch this 8min video by Anders Madsen to learn how to create and use a BBN.
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Install Hugin Lite from here.
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Open the Hugin Lite program.
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Use your browser to access the Hugin
RESOURCES
page which has many cases, demos, articles, tutorials etc. Under Tutorials, click theBuilding a BN Tutorial
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Complete the
Tutorial 1. Building a Bayesian Network
, selecting folder Lab6BBN whenever you are told to save files. (Note: sometimes the tutorial does not match the GUI interface, but use your intuition. For ex., when naming/creating states in a node, use the “Add” bar to add states instead of “+-“ buttons; to see/edit the CPT table of a node, right click the node an select “Open Tables”). Be sure to perform a save after completing the last step of the tutorial. -
In a MS word file (or .txt file) titled Lab6BBN.docx and saved in your Lab6BBN, give a formula for calculating,
P(Sick="Sick",Dry="Not"| Loses="no")
, use the Bayesian net you have created to obtain the two necessary values, and show the final calculations. -
Repeat the previous step to compute
P(Sick="No",Dry="Dry"| Loses="no")
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Note: to resert you BBN, click the button with the curved arrow (“Initialize network”).
Grading: Submit your folder Lab6BBN containing the docx file and Apple.hkb file at the provided link.