Addressing Knowledge-Representation Issues in Connectionist Symbolic Rule Encoding for General Inference.
Nam Seog ParkPublished in: Hybrid Neural Systems (1998)
Keyphrases
- knowledge representation
- expert systems
- connectionist models
- artificial intelligence
- special case
- probabilistic reasoning
- inference process
- probabilistic inference
- neural network
- condition action rules
- connectionist learning
- symbolic knowledge
- representing knowledge
- belief networks
- key issues
- structured prediction
- closely related
- description logics
- association rules
- learning algorithm
- machine learning
- data sets
- connectionist systems