Design by derivational analogy: issues in the automated replay of design plans
Artificial Intelligence
Integrating Feature Extraction and Memory Search
Machine Learning - Special issue on case-based reasoning
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Developing computer programs that support the design process has long been an area of study in Artificial Intelligence. Theorem provers, rule-based expert systems, and constraint satisfaction programs have been popular platforms with which to support design since almost the beginning of AI/design research, and more recently analogical or case-based reasoning have shown promise as a substitute for or a complement to those and other technologies. In their new book, Maher, Balachandran, and Zhang give an in-depth look at this newer topic of research---incorporating case-based reasoning in design support programs. The authors, all current or former researchers at the University of Sydney's Key Centre of Design Computing, focus on their own research in the area, describing the techniques for case representation, case recall, and case adaptation they have developed for design, and presenting implemented systems that use these techniques to support design.