In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.

We present a method for calculation of my opic value of information in influence dia grams (Howard & Matheson, 1981) based on the strong junction tree framework (Jensen et al., 1994). An influence diagram specifies a certain or der of observations and decisions through its structure. This order is reflected in the corre sponding junction trees by the order in which the nodes are marginalized. This order of marginalization can be changed by table ex pansion and use of control structures, and this facilitates for calculating the expected value of information for different information scenarios within the same junction tree. In effect, a strong junction tree with expanded tables may be used for calculating the value of information between several scenarios with different observation-decision order. We compare our method to other methods for calculating the value of information in in fluence diagrams.
Myopic Value of Information in Influence Diagrams