The Special Issue of AI Magazine on Structured Knowledge Transfer

Daniel G. Shapiro, Hector Munoz-Avila, David Stracuzzi


This issue summarizes the state of the art in structured knowledge transfer, which is an emerging approach to the general problem of knowledge acquisition and reuse. Its goal is to capture, in a general form, the internal structure of the objects, relations, strategies, and processes used to solve tasks drawn from a source domain, and exploit that knowledge to improve performance in a target domain.

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