Representing Interventional Knowledge in Causal Belief Networks: Uncertain Conditional Distributions Per Cause

DOI10.1007/978-3-319-08852-5_23zbMath1415.68223OpenAlexW209233398MaRDI QIDQ5227380

Zied Elouedi, Oumaima Boussarsar, Imen Boukhris

Publication date: 26 July 2019

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/10.1007/978-3-319-08852-5_23

zbMATH Keywords

causal networkconditional distributioncausal beliefsingle parenttarget variable

Mathematics Subject Classification ID

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

Related Items

Causal Belief Inference in Multiply Connected Networks

Uses Software

• TETRAD

Cites Work

• Causation, prediction, and search
• Reasoning in evidential networks with conditional belief functions
• Inference in directed evidential networks based on the transferable belief model
• Dealing with external actions in belief causal networks
• Handling Interventions with Uncertain Consequences in Belief Causal Networks
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