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Davies, J. & Goel, A. K. (2003). Visual case-based reasoning I: Transfer and Adaptation. Proceedings of The 1st Indian International Conference on Artificial Intelligence. Springer.

Cite this for: Publisher: Springer

BibTex Entry:

@InProceedings{DaviesGoel2003b,
  author = 	 {Davies, Jim and Goel, Ashok K.},
  title = 	 {Visual                                     
            case-based reasoning I: Transfer and Adaptation},
  booktitle = 	 {Proceedings of The 1st Indian International
            Conference on Artificial
            Intelligence},
  OPTpages = 	 {},
  OPTyear = 	 {2003},
  OPTeditor = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTmonth = 	 {},
  OPTorganization = {},
  OPTpublisher = {Springer},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

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From the Visual Analogy research theme.

Abstract

We introduce the notion of visual case-based reasoning, i.e., reuse of cases containing only visual knowledge. In this context, we explore the problem of automated adaptation of diagrammatic cases, i.e., machine transfer of diagrammatic knowledge from a source case to a target problem. We describe Galatea, a computer program, that adapts diagrammatic cases given a mapping between the target problem and a source case. Galatea explicitly represents knowledge states of the source in the form of symbolic images, and uses spatial aggregations and a taxonomy of primitive visual transformations to facilitate knowledge transfer.

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JimDavies ( jim@jimdavies.org )