Concept Learning from Examples with Applications to a Vision Learning System

This paper describes a learning technique based on the use of examples and counter-examples of the concept being learned. The technique blends together the conceptual graphs theory and the support logic programming. Each of these is being used for both knowledge representation and inference. An application to a vision learning system as well as a discussion of such a system is included.