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
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
BLAG tutorial on orthogonal drawings
provide a comprehensive guide on how to use GDT to construct these widely
Last update : July 31, 2002
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