• 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