Encoding Markov Logic Networks in Possibilistic Logic.
Ondrej KuzelkaJesse DavisSteven SchockaertPublished in: CoRR (2015)
Keyphrases
- possibilistic logic
- markov logic networks
- first order logic
- propositional logic
- structure learning
- possibility theory
- probabilistic reasoning
- knowledge base
- markov networks
- logic programming
- graphical models
- uncertain information
- probabilistic graphical models
- belief revision
- partially ordered
- conditional independence
- classical logic
- logical framework
- bayesian networks
- incomplete information
- nonmonotonic reasoning
- inference rules
- data mining
- belief propagation
- machine learning
- belief change
- parameter estimation
- maximum likelihood
- programming language
- general purpose
- fuzzy logic
- knowledge representation
- probability distribution