Explaining Bayesian Networks Using Argumentation.
Sjoerd T. TimmerJohn-Jules Ch. MeyerHenry PrakkenSilja RenooijBart VerheijPublished in: ECSQARU (2015)
Keyphrases
- bayesian networks
- evidential reasoning
- probabilistic reasoning
- structure learning
- probabilistic inference
- learning bayesian networks
- inference in bayesian networks
- probabilistic model
- defeasible reasoning
- argumentation systems
- approximate inference
- random variables
- expert knowledge
- conceptual change
- graphical models
- argumentation semantics
- conditional independence
- parameter learning
- agent communication
- argumentation skills
- hidden variables
- incomplete data
- complex domains
- conditional probabilities
- theoretical framework