Visual Case-Based Reasoning II: Transfer and Adaptation.
Jim Davies, Ashok Kumar Goel · Indian International Conference on Artificial Intelligence · 2003
Case-based problem solving refers to reasoning about new problems by reusing past cases. Visual case-based problem solving pertains to reuse of past cases that contain only visual knowledge. In this paper, we explore the problem of automated adaptation of diagrammatic cases, i.e., automatic transfer of diagrammatic knowledge from a source case to a target problem. We describe Galatea, a computer program that adapts diagrammatic cases. Galatea explicitly represents knowledge states in the source case in the form of propositions, and transfers visual transformations from the source case to the target problem. A companion paper in the same conference [15] addresses the task of retrieving diagrammatic cases.