Abduction with probabilistic logic programming under the distribution semantics
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Publication:2076968
DOI10.1016/j.ijar.2021.11.003OpenAlexW3215648770MaRDI QIDQ2076968
Damiano Azzolini, Stefano Ferilli, Riccardo Zese, Fabrizio Riguzzi, Elena Bellodi
Publication date: 22 February 2022
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2021.11.003
abductiondistribution semanticsprobabilistic logic programmingstatistical relational artificial intelligence
Related Items (2)
Lifted inference for statistical statements in probabilistic answer set programming ⋮ Statistical statements in probabilistic logic programming
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Cites Work
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- The distribution semantics for normal programs with function symbols
- Applying the information bottleneck to statistical relational learning
- Logic programming, abduction and probability. A top-down anytime algorithm for estimating prior and posterior probabilities
- Probabilistic logic
- Probabilistic Horn abduction and Bayesian networks
- Tableau reasoning for description logics and its extension to probabilities
- Probabilistic inductive constraint logic
- Probabilistic inductive logic programming. Theory and applications
- Markov logic networks
- A Tool for Probabilistic Reasoning Based on Logic Programming and First-Order Theories Under Stable Model Semantics
- On Minimality and Integrity Constraints in Probabilistic Abduction
- Tabling and answer subsumption for reasoning on logic programs with annotated disjunctions
- Abductive Inference in Probabilistic Logic Programs
- XSB: Extending Prolog with Tabled Logic Programming
- Parallel Abductive Query Answering in Probabilistic Logic Programs
- CP-logic: A language of causal probabilistic events and its relation to logic programming
- Probabilistic reasoning with answer sets
- Implementing Probabilistic Abductive Logic Programming with Constraint Handling Rules
- The Complexity of Enumeration and Reliability Problems
- The well-founded semantics for general logic programs
- Tabled evaluation with delaying for general logic programs
- The IFF proof procedure for abductive logic programming
- Abducing through negation as failure: stable models within the independent choice logic
- Computing LPMLN using ASP and MLN solvers
- Structure learning of probabilistic logic programs by searching the clause space
- Nonground Abductive Logic Programming with Probabilistic Integrity Constraints
- MAP Inference for Probabilistic Logic Programming
- Automated Reasoning with Analytic Tableaux and Related Methods
- Verifiable agent interaction in abductive logic programming
- Abductive Logic Programming
- Well–definedness and efficient inference for probabilistic logic programming under the distribution semantics
- Logic Programming
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