The Special Issue of AI Magazine on Structured Knowledge Transfer

  • Daniel G. Shapiro Institute for the Study of Learning and Expertise
  • Hector Munoz-Avila Lehigh University
  • David Stracuzzi Sandia National Laboratories

Abstract

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.
Published
2011-03-16
Section
Editorials