We present a computational model of case-based visual problem solving. The Galatea model and the two experimental participants modeled in it show that 1) visual knowledge is sufficient for transfer of some problem-solving procedures, 2) visual knowledge facilitates transfer even when non-visual knowledge might be available, and 3) the successful transfer of strongly-ordered procedures in which new objects are created requires the reasoner to generate intermediate knowledge states and mappings between the intermediate knowledge states of the source and target cases. We describe Galatea, the two models created with it, and related work.

Additional Metadata
Conference 6th International Conference on Case-Based Reasoning, ICCBR 2005
Citation
Davies, J, Goel, A.K. (Ashok K.), & Nersessian, N.J. (Nancy J.). (2005). Transfer in visual case-based problem solving. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (pp. 163–176).