Constructing Markov Logic Networks from First-Order Default Rules.
Ondrej KuzelkaJesse DavisSteven SchockaertPublished in: ILP (2015)
Keyphrases
- markov logic networks
- first order logic
- default rules
- default reasoning
- probabilistic reasoning
- default logic
- commonsense reasoning
- structure learning
- markov networks
- knowledge representation
- probabilistic graphical models
- nonmonotonic reasoning
- possibility theory
- default theories
- inductive logic programming
- graphical models
- higher order
- incomplete information
- belief revision
- probabilistic inference
- conditional independence
- constraint satisfaction
- transfer learning
- maximum likelihood