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Decision analysis networks
2018
International Journal of Approximate Reasoning
This paper presents decision analysis networks (DANs) as a new type of probabilistic graphical model. Like influence diagrams (IDs), DANs are much more compact and easier to build than decision trees, and are able to represent conditional independencies. Both IDs and DANs can represent symmetric problems, but DANs can also represent problems involving restrictions between the values of the variables (structural asymmetry) and partial orderings of the decisions (order asymmetry). Therefore, DANs
doi:10.1016/j.ijar.2018.02.007
fatcat:6rdtipqgfbabjfsgusaensgamu