Neural-Symbolic Learning and Reasoning: Contributions and Challenges.
Artur S. d'Avila GarcezTarek R. BesoldLuc De RaedtPeter FöldiákPascal HitzlerThomas IcardKai-Uwe KühnbergerLuís C. LambRisto MiikkulainenDaniel L. SilverPublished in: AAAI Spring Symposia (2015)
Keyphrases
- inductive inference
- learning algorithm
- online learning
- lessons learned
- reinforcement learning
- learning process
- prior knowledge
- active learning
- incremental learning
- learning systems
- knowledge representation
- learning tasks
- background knowledge
- unsupervised learning
- solving problems
- design principles
- motor control
- biologically plausible
- learning problems
- connectionist networks
- neural learning
- symbolic reasoning
- associative learning
- connectionist systems
- learning sciences
- learning rules
- learning scheme
- neural network
- supervised learning
- high level
- real world