A Survey of Directed Entity-Relation--Based First-Order Probabilistic Languages

DOI10.1145/2560546zbMath1322.68197OpenAlexW2118424131MaRDI QIDQ5178091

Catherine Howard, Markus Stumptner

Publication date: 9 March 2015

Published in: ACM Computing Surveys (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/2560546

zbMATH Keywords

directed entity-relation-based first-order probabilistic languages

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Knowledge representation (68T30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Research exposition (monographs, survey articles) pertaining to computer science (68-02)

Uses Software

• MEBN
• IBAL
• SPOOK
• PR-OWL
• PRISM
• UnBBayes

Cites Work

• Exploiting symmetries for scaling loopy belief propagation and relational training
• Answering queries from context-sensitive probabilistic knowledge bases
• Automated compilation of object-oriented probabilistic relational models
• Probabilistic Horn abduction and Bayesian networks
• The independent choice logic for modelling multiple agents under uncertainty
• Representations and solutions for game-theoretic problems
• Probabilistic logic with independence
• MEBN: a language for first-order Bayesian knowledge bases
• PRL: a probabilistic relational language
• Markov logic networks
• Probabilistic object bases
• A Survey of First-Order Probabilistic Models
• 10.1162/jmlr.2003.3.4-5.679
• Logic Programming
• Inductive Logic Programming
• New Advances in Logic-Based Probabilistic Modeling by PRISM
• CLP( $\cal{BN}$ ): Constraint Logic Programming for Probabilistic Knowledge
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