Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples.
Tarek R. BesoldArtur S. d'Avila GarcezKeith StenningLeendert W. N. van der TorreMichiel van LambalgenPublished in: CoRR (2017)
Keyphrases
- logic programming
- probabilistic knowledge
- probabilistic reasoning
- logic programs
- reasoning tasks
- knowledge representation
- probabilistic logic
- knowledge base
- knowledge representation and reasoning
- reasoning about actions
- answer set programming
- knowledge representation language
- computational logic
- nonmonotonic reasoning
- logic programming language
- deductive databases
- representing knowledge
- programming language
- answer sets
- constraint logic programming
- classical logic
- default reasoning
- stable models
- default logic
- automated reasoning
- probability theory
- probabilistic inductive logic programming
- decision theory
- propositional logic
- conditional probabilities
- reasoning systems
- inductive logic programming
- expert systems
- disjunctive logic programming
- ontological reasoning
- bayesian networks