Conditional Independence for Iterated Belief Revision.
Gabriele Kern-IsbernerJesse HeyninckChristoph BeierlePublished in: IJCAI (2022)
Keyphrases
- conditional independence
- iterated belief revision
- belief revision
- belief change
- bayesian networks
- partially ordered
- random variables
- graphical models
- probability distribution
- directed acyclic graph
- causal models
- structure learning
- bayesian network structure
- structure and parameter learning
- learning bayesian networks
- possibility theory
- propositional logic
- belief update
- epistemic states
- axiomatic characterization
- default reasoning
- probability theory
- statistical independence
- nonmonotonic reasoning
- chain graphs
- conditional independencies
- belief propagation