Ganian, R., Kim, E. J., Slivovsky, F., & Szeider, S. (2022). Sum-of-Products with Default Values: Algorithms and Complexity Results. Journal of Artificial Intelligence Research, 73, 535–552. https://doi.org/10.1613/JAIR.1.12370
E192-01 - Forschungsbereich Algorithms and Complexity
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Journal:
Journal of Artificial Intelligence Research
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ISSN:
1076-9757
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Date (published):
10-Feb-2022
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Number of Pages:
18
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Publisher:
AI Access Foundation
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Peer reviewed:
Yes
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Keywords:
constraint satisfaction; satisfiability
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Abstract:
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.
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Project title:
Variablenabha¿ngigkeiten Quantifizierter Boolscher Formeln: P27721-N25 (FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) New Frontiers for Parameterized Complexity: P31336-N35 (FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF))