Causal invariance guides inference of empirical integration rules.
Jeffrey K. ByePatricia W. ChengPublished in: CogSci (2022)
Keyphrases
- bayesian networks
- inference engine
- backward chaining
- causal inference
- logical rules
- causal models
- certainty factor
- machine learning
- association rules
- association rule mining
- causal theories
- expert systems
- data integration
- causal reasoning
- causal links
- causal relationships
- production rules
- probabilistic inference
- rule sets
- background knowledge
- knowledge discovery
- abductive reasoning
- observational data
- invariant properties
- decision trees
- classification rules