A Survey of First-Order Probabilistic Models

DOI10.1007/978-3-540-85066-3_12zbMath1213.68619OpenAlexW1590983754MaRDI QIDQ3562276

Dan Roth, Rodrigo de Salvo Braz, Eyal Amir

Publication date: 21 May 2010

Published in: Innovations in Bayesian Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-85066-3_12

zbMATH Keywords

probabilistic modelsinference algorithms

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (6)

Probabilistic modelling, inference and learning using logical theories ⋮ Unnamed Item ⋮ Probabilistic Event Calculus for Event Recognition ⋮ A Survey of Directed Entity-Relation--Based First-Order Probabilistic Languages ⋮ Constructing Markov Logic Networks from First-Order Default Rules ⋮ Lifted graphical models: a survey

Uses Software

• BUGS

Cites Work

• Clausal discovery
• Probability logic
• Probabilistic logic
• Probabilistic logic programming
• Probabilistic Horn abduction and Bayesian networks
• Anytime deduction for probabilistic logic
• The independent choice logic for modelling multiple agents under uncertainty
• A logic for reasoning about probabilities
• Markov logic networks
• Concerning measures in first order calculi
• 10.1162/153244301753344614
• Probabilities over rich languages, testing and randomness
• Inductive Logic Programming
• Logic Programming and Nonmonotonic Reasoning
• Algorithmic Learning Theory
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