Sum-of-Products with Default Values: Algorithms and Complexity Results
Ganian, Robert (Algorithms and Complexity Group, TU Wien) | Kim, Eun Jung (LAMSADE/CNRS, Université Paris-Dauphin) | Slivovsky, Friedrich (TU Wien) | Szeider, Stefan (Algorithms and Complexity Group, TU Wien)
–Journal of Artificial Intelligence Research
Weighted Counting for Constraint Satisfaction with Default Values (#CSPD) is a powerful special case of the sum-of-products problem that admits succinct encodings of #CSP, #SAT, and inference in probabilistic graphical models. We investigate #CSPD under the fundamental parameter of incidence treewidth (i.e., the treewidth of the incidence graph of the constraint hypergraph). We show that if the incidence treewidth is bounded, #CSPD can be solved in polynomial time. More specifically, we show that the problem is fixed-parameter tractable for the combined parameter incidence treewidth, domain size, and support size (the maximum number of non-default tuples in a constraint). This generalizes known results on the fixed-parameter tractability of #CSPD under the combined parameter primal treewidth and domain size. We further prove that the problem is not fixed-parameter tractable if any of the three components is dropped from the parameterization.
Journal of Artificial Intelligence Research
Feb-10-2022
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