DocumentCode
2871107
Title
Learning Functional Models of Biological Systems for Biologically Inspired Design
Author
Wiltgen, Bryan ; Vattam, Swaroop ; Helms, Michael ; Goel, Ashok K. ; Yen, Jeannette
Author_Institution
Design & Intell. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2011
fDate
6-8 July 2011
Firstpage
355
Lastpage
357
Abstract
Biologically inspired design uses cross-domain analogies from biology to engineering to enhance design creativity and innovation. This analogical transfer requires conceptual understanding of biological systems. In this paper, we describe a prototype interactive knowledge-based design environment called DANE for supporting conceptual understanding through learning about functional models of biological designs. We present initial results from deploying DANE in an interdisciplinary class on biologically inspired design, indicating that designers found DANE´s functional models useful for conceptualizing complex systems.
Keywords
bio-inspired materials; biology computing; computer aided instruction; interactive systems; knowledge based systems; DANE; biologically inspired design; cross-domain analogy; functional model; knowledge based design; learning functional model; Biological system modeling; Blood; Interviews; Kidney; Reflection; Biological Systems; Biomimetic Design; Functional Models; Model Learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location
Athens, GA
ISSN
2161-3761
Print_ISBN
978-1-61284-209-7
Electronic_ISBN
2161-3761
Type
conf
DOI
10.1109/ICALT.2011.110
Filename
5992342
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