Decision Theory: Maximum Expected Utility - Stanford University

We've show how probabilistic graphical models can be used for a variety of inference tasks like computing conditional probabilities or finding the map assignment. But often the thing that you actually want to do with a probability distribution is make decisions in the world. So, for example, if you're a doctor encountering a patient, it's not just enough to figure out what disease the patient has. Ultimately you need to decide what treatment to give the patient. How do we use a probability distribution and specifically a probabilistic graphical model in order to make the decisions? ......

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