Negative probabilities in probabilistic logic programs

DOI10.1016/j.ijar.2016.10.001zbMath1404.68034OpenAlexW2530744162MaRDI QIDQ518605

Yong-Cai Geng, Sumit K. Garg

Publication date: 29 March 2017

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2016.10.001

zbMATH Keywords

representationnegationcanonicalnegative probabilitycyclic logic programs

Mathematics Subject Classification ID

Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.) (68N19) Logic programming (68N17) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

Related Items (4)

The complexity of Bayesian networks specified by propositional and relational languages ⋮ Extended multi-adjoint logic programming ⋮ GPS trajectory data segmentation based on probabilistic logic ⋮ The finite model theory of Bayesian network specifications: descriptive complexity and zero/one laws

Uses Software

• ProbLog
• CP-logic
• PRISM

Cites Work

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• The independent choice logic for modelling multiple agents under uncertainty
• Markov logic networks
• Inhibited Effects in CP-Logic
• CP-logic: A language of causal probabilistic events and its relation to logic programming
• Efficient computation for the noisy MAX
• Abducing through negation as failure: stable models within the independent choice logic
• Markov Logic
• New Advances in Logic-Based Probabilistic Modeling by PRISM

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