Dear list members, Does it make sense to calculate the entropy of a node in a Bayes net by using Shannons communication entropy equation? Can a node be considered a 'communication channel' for this purpose? Following on from this would it be reasonable to measure the change in entropy as more data is added to the decision model, thereby decreasing the uncertainty/risk by defining the node with more certainty, as measured by the progressively decreasing entropy?
Regards, JR
