Knowledge Bases and Machine Learning
We propose a model using meta-knowledge that provides a capability for developing expert systems that adaptively learn from experience. The model employs a general inference engine mechanism which may be used with any knowledge base that has been structured to interface with the inference mechanism of the engine.
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