Causal Inference In Legal Decision Making: Explanatory Coherence Vs. Bayesian Networks.
Paul ThagardPublished in: Appl. Artif. Intell. (2004)
Keyphrases
- causal inference
- bayesian networks
- decision making
- causal models
- additive noise
- abductive reasoning
- conditional independence
- observational data
- rare events
- discrete data
- nonmonotonic reasoning
- influence diagrams
- causal discovery
- conditional probabilities
- random variables
- graphical models
- probability distribution
- probabilistic inference
- causal relationships
- probabilistic model
- reasoning tasks
- default logic
- approximate inference
- noisy images
- logic programs
- high dimensional
- image processing