Conceptual clustering of structured objects: a goal-oriented approach
Artificial Intelligence
Introduction: paradigms for machine learning
Machine learning: paradigms and methods
Design by derivational analogy: issues in the automated replay of design plans
Machine learning: paradigms and methods
Computational models of concept learning
Concept formation knowledge and experience in unsupervised learning
Experiments with Incremental Concept Formation: UNIMEM
Machine Learning
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This paper discusses the role of inductive learning in the context of intelligent design support. It argues that inductive learning is an integral part of conceptual design process and that computer-based design systems can be enhanced by the integration of inductive learning techniques with other AI techniques. The paper presents an inductive learning model for design and demonstrates its application in a design concept learning system.