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Bio-inspiration: Learning Creative Design Principia

  • Conference paper
Intelligent Computing in Engineering and Architecture (EG-ICE 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4200))

Abstract

Reusing or modifying known design concepts cannot meet new challenges facing engineering systems. However, engineers can find inspiration outside their traditional domains in order to develop novel design concepts. The key to progress and knowledge acquisition is found in inspiration from diverse domains.

This paper explores abstract knowledge acquisition for use in conceptual design. This is accomplished by considering body armor in nature and that developed in Europe in the last Millennium. The research is conducted in the context of evolution patterns of the Directed Evolution Method, which is briefly described. The focus is on conceptual inspiration. Analysis results of historic and natural body armor evolution are described and two sets of acquired creative design principia from both domains are presented. These principia can be used to stimulate human development of novel design concepts. Creative design principia, combined with human creativity, may lead to revolutionarychanges, rather than merely evolutionarysteps, in the evolution of engineering systems.

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Author information

Authors and Affiliations

  1. George Mason University, University Drive 4400, Fairfax, VA, 22030, USA

    Tomasz Arciszewski & Joanna Cornell

Authors
  1. Tomasz Arciszewski
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  2. Joanna Cornell
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Editor information

Editors and Affiliations

  1. Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, 1015, Lausanne, Switzerland

    Ian F. C. Smith

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© 2006 Springer-Verlag Berlin Heidelberg

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Arciszewski, T., Cornell, J. (2006). Bio-inspiration: Learning Creative Design Principia. In: Smith, I.F.C. (eds) Intelligent Computing in Engineering and Architecture. EG-ICE 2006. Lecture Notes in Computer Science(), vol 4200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11888598_5

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  • DOI: https://doi.org/10.1007/11888598_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46246-0

  • Online ISBN: 978-3-540-46247-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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