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SEABIRD: Scalable search for systematic biologically inspired design
Vandevenne, D.; Verhaegen, P.-A.; Dewulf, S.; Duflou, J.R. (2016). SEABIRD: Scalable search for systematic biologically inspired design. Artif. Intell. Eng. Des. Anal. Manuf. 30(1): 78-95. https://dx.doi.org/10.1017/S0890060415000177
In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Cambridge University Press: London. ISSN 0890-0604; e-ISSN 1469-1760, meer
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| Author keywords |
Bioinspired Design; Biologically Inspired Design; Biomimicry; Creativityand Ideation |
| Auteurs | | Top |
- Vandevenne, D., meer
- Verhaegen, P.-A.
- Dewulf, S.
- Duflou, J.R.
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| Abstract |
As more and more people are increasingly turning to nature for design inspiration, tools and methodologies are developed to support the systematic bioideation process. State-of-the-art approaches struggle with expanding their knowledge bases because of interactive work required by humans per biological strategy. As an answer to this persistent challenge, a scalable search for systematic biologically inspired design (SEABIRD) system is proposed. This system leverages experience from the product aspects in design by analogy tool that identifies candidate products for between-domain design by analogy. SEABIRD is based on two conceptual representations, product and organism aspects, extracted from, respectively, a patent and a biological database, that enable leveraging the ever growing body of natural-language biological texts in the systematic bioinspired design process by eliminating interactive work by humans during corpus expansion. SEABIRD's search is illustrated and validated with three well-known biologically inspired design cases. |
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