Discussion
How is a decision network evaluated?
Answer: A
Setting the decision node to each of its values in turn, computing the posterior over the utility node's parents and taking the expectation, gives the value of each action. The highest is chosen. Sampling is one way to compute the expectations rather than the procedure, and decisions are maximised rather than summed out. Distinguishing the variables that are summed from the one that is maximised is the whole difference between inference and decision making.
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