Integrating probabilistic, taxonomic and causal knowledge in abductive diagnosis.
Dekang LinRandy GoebelPublished in: UAI (1990)
Keyphrases
- causal knowledge
- causal reasoning
- conditional probabilities
- bayesian networks
- diagnostic knowledge
- knowledge base
- causal relationships
- background knowledge
- causal explanation
- probabilistic model
- generative model
- probabilistic logic
- belief networks
- probabilistic inference
- directed acyclic graph
- fuzzy cognitive maps
- logic programming
- default logic
- prior knowledge
- model based diagnosis
- data sets
- machine learning
- artificial intelligence
- abductive reasoning
- probability distribution
- random variables
- training examples