How many kinds of reasoning? Inference, probability, and natural language semantics.
Daniel LassiterNoah D. GoodmanPublished in: CogSci (2012)
Keyphrases
- natural language
- knowledge representation
- reasoning tasks
- inference engine
- semantic interpretation
- open world
- logical inference
- semantic representation
- logic programming
- proof theory
- deductive reasoning
- plausible reasoning
- representing knowledge
- probabilistic reasoning
- reasoning mechanisms
- knowledge representation language
- evidential reasoning
- probability theory
- fuzzy description logics
- logical framework
- conceptual graphs
- proof theoretic
- graphical representation
- abductive inference
- knowledge base
- nonmonotonic inference
- bayesian networks
- logical formulas
- conditional probabilities
- formal language
- reasoning mechanism
- truth maintenance systems
- lexical semantics
- inference process
- probabilistic inference
- hypothetical reasoning
- knowledge representation languages
- computational properties
- belief networks
- question answering
- natural language processing
- probability distribution
- default rules
- automated reasoning
- formal semantics
- default reasoning
- natural language interface
- abductive reasoning
- semantic information
- reasoning process
- natural language understanding
- semantic analysis
- language understanding
- reasoning services
- logical rules
- legal reasoning
- description logics
- conditional logic
- model theoretic
- inference mechanism
- uml class diagrams
- information extraction
- reasoning about actions
- nonmonotonic reasoning
- first order logic
- machine learning