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. © 2011 Springer-Verlag.
CITATION STYLE
Wiltgen, B., Goel, A. K., & Vattam, S. (2011). Representation, indexing, and retrieval of biological cases for biologically inspired design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6880 LNAI, pp. 334–347). https://doi.org/10.1007/978-3-642-23291-6_25
Mendeley helps you to discover research relevant for your work.