Heuristics in Covariation-based Induction of Causal Models: Sufficiency and Necessity Priors.
Ralf MayrhoferMichael R. WaldmannPublished in: CogSci (2011)
Keyphrases
- causal models
- causal discovery
- conditional independence
- causal relationships
- causal relations
- structural model
- structural equation models
- causal graph
- directed acyclic graph
- causal inference
- induction algorithms
- search algorithm
- causal reasoning
- machine learning
- bayesian framework
- causal structure
- inductive learning
- decision making
- data mining
- tractable cases
- inductive logic programming
- heuristic search
- np complete
- prior knowledge
- decision trees