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Conference Proceedings (2000), Machine Learning in Design Workshop (MLinD 2000), 6th International Conference on Artificial Intelligence in Design (AID 2000), Worcester Polytechnic Institute, pp. 33-41

Applying Case-based Reasoning in a Design Environment: Issues and Lessons Learned

Among the various machine learning techniques, case-based reasoning is particularly suited to design tasks. Designers often develop new products with a case-based approach, i.e. by reusing already known products and/or design processes. In this paper, we present a tool for case-based design, called STEP PC, and elaborate on our experience with this tool to identify issues and lessons learned in the application of case-based reasoning to design.

PRAT, N. (2000). Applying Case-based Reasoning in a Design Environment: Issues and Lessons Learned. In: Machine Learning in Design Workshop (MLinD 2000), 6th International Conference on Artificial Intelligence in Design (AID 2000). Worcester Polytechnic Institute, pp. 33-41.