Influence diagrams are bayesian belief networks equipped with decisions and utilities. An edge from a random variable to a decision variable indicates that the value of the random variable is known when the decision will be taken, and an edge from one decision variable to another indicates the chronological ordering of the corresponding decisions.

Speaking in terms of graph properties, Influence diagrams are directed graphs.

We suggest to represent Influence diagrams with orthogonal drawings, i.e., drawings in which the connections between symbols consist of horizontal and vertical segments only.

GAPI tutorial on orthogonal drawings and BLAG tutorial on orthogonal drawings provide a comprehensive guide on how to use GDT to construct these widely used drawings.

Last update : July 31, 2002
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