A Connectionist Model of Instructed Learning

David C. Noelle

The focus of this research is on how people blend knowledge gained through explicit instruction with knowledge gained through experience. The product of this work will be a cognitively plausible computational learning model which integrates instructed learning with inductive generalization from examples. The success of this model will require the attainment of both a technical and a scientific goal.


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