Analog retrieval by constraint satisfaction
Artificial Intelligence
Exploration and innovation in design: towards a computational model
Exploration and innovation in design: towards a computational model
Case-based design: A task analysis
Artificial intelligence in engineering design (Vol. II)
Synthesis of UNIX Programs Using Derivational Analogy
Machine Learning
CADET: a case-based synthesis tool for engineering design
International Journal of Expert Systems - Special issue on case-based reasoning
Case-based reasoning
Reasoning with complex cases
Case-Based Reasoning in Design
Case-Based Reasoning in Design
Issues and Applications of Case Based Reasoning to Design
Issues and Applications of Case Based Reasoning to Design
Inside Case-Based Reasoning
Argo: A System for Design by Analogy
IEEE Expert: Intelligent Systems and Their Applications
Case-Based Design Support: A Case Study in Architectural Design
IEEE Expert: Intelligent Systems and Their Applications
Case-Based Reasoning in Design
IEEE Expert: Intelligent Systems and Their Applications
Structural Similarity and Adaptation
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
An Evolutionary Approach to Case Adaption
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Spatial composition using cases: IDIOM
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
A functional representation for aiding biomimetic and artificial inspiration of new ideas
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Design, innovation and case-based reasoning
The Knowledge Engineering Review
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A computational model of visual analogies in design
Cognitive Systems Research
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Biologically inspired design is an increasingly popular design paradigm. Biologically inspired design differs from many traditional case-based reasoning tasks because it employs cross-domain analogies. The wide differences in biological source cases and technological target problems present challenges for determining what would make good or useful schemes for case representation, indexing, and adaptation. In this paper, we provide an information-processing analysis of biologically inspired design, a scheme for representing knowledge of designs of biological systems, and a computational technique for automatic indexing and retrieval of biological analogues of engineering problems. Our results highlight some important issues that a case-based reasoning system must overcome to succeed in supporting biologically inspired design.