Causal Belief Inference in Multiply Connected Networks

DOI10.1007/978-3-319-40581-0_24zbMath1455.68199OpenAlexW2499445240MaRDI QIDQ5117218

Zied Elouedi, Oumaima Boussarsar, Imen Boukhris

Publication date: 20 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40581-0_24

zbMATH Keywords

causalityinterventionsbelief function theorycausal belief networkshybrid binary join treepropagation process

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• TETRAD

Cites Work

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• Causation, prediction, and search
• Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
• Binary join trees for computing marginals in the Shenoy-Shafer architecture
• Inference in directed evidential networks based on the transferable belief model
• Dealing with external actions in belief causal networks
• On the unicity of dempster rule of combination
• Application of the transferable belief model to diagnostic problems
• Representing Interventional Knowledge in Causal Belief Networks: Uncertain Conditional Distributions Per Cause
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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