Introduction to Decision Theory: Part II

Explores the strengths and limitations of decision trees, introduces influence diagrams as a scalable alternative, details their evaluation using the arc-reversal / node-reduction algorithm, and surveys Python libraries (PyAgrum, PyCID) for practical decision analysis.