learnedknown
Learnedknown is a term used in knowledge representation and artificial intelligence to describe a framework that combines information learned from data with knowledge that is known from authoritative sources. In this view, models derive generalizations from training data while explicit facts are stored and validated in curated knowledge bases. The term emphasizes the coexistence and interaction of these two modalities of knowledge within a single system.
The phrase is commonly used in discussions of hybrid AI and knowledge-based systems. It is not a
Core components of learnedknown include the learned component, such as neural networks or probabilistic models that
Applications span question answering, fact checking, robust search, and robotics, where systems benefit from the efficiency