Evaluating the Usefulness of Counterfactual Explanations from Bayesian Networks.
Raphaela ButzArjen HommersomRenée SchulzHans van DitmarschPublished in: Hum. Centric Intell. Syst. (2024)
Keyphrases
- bayesian networks
- probability distribution
- bayesian network inference
- inference in bayesian networks
- parameter learning
- structure learning
- generating explanations
- logical framework
- probabilistic reasoning
- incomplete data
- random variables
- conditional independence
- probabilistic inference
- complex domains
- conditional probabilities
- causal reasoning
- learning bayesian networks
- diagnostic reasoning
- domain knowledge
- bayesian network learning
- training data