Learning by Reading

 

Learning by Reading

Sage 4101

Turning to written text and diagrams to learn, isn't considered learning as it has been rigorously studied in computer science, cognitive science, and AI. In them, to learn is almost invariably to produce an underlying function f on the basis of a restricted set of pairs. Yet learning by reading (LBR) underpins much of 'every day' human learning. In this talk, I will detail a proof-of-concept LBR process capable of true poised-for learning, i.e. one that produces knowledge that is poised for the semantically correct generation of output which provides overwhelming psychometric evidence that deep and durable learning has taken place. Further, I will discuss how the process has enabled the 'cracking' of Intelligence Analysis scenarios directly from the scenarios' English source material.
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