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Exploring the Collective Categorization of Biological Information for Biomimetic Design

[+] Author Affiliations
Jungik (Jay) Son, Hyunmin Cheong, L. H. Shu

University of Toronto, Toronto, ON, Canada

Christian Raulf

University of Applied Sciences Bremen, Bremen, GermanyUniversity of Toronto, Toronto, ON, Canada

Paper No. DETC2012-71296, pp. 393-401; 9 pages
doi:10.1115/DETC2012-71296
From:
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4506-6
  • Copyright © 2012 by ASME

abstract

Categorizing biological information can be subjective and ambiguous, which poses challenges for indexing potentially useful biological information for design. Therefore, we explored collective categorization to study the categorization task. After gathering 163 examples of biological transformation, we asked four participants to independently categorize the examples using self-selected approaches. A computational algorithm was used to quantify the relatedness between the groups that each participant created. The results confirmed that participants had different perspectives in interpreting and categorizing biological information. However, the collective categorization method could reveal meaningful semantics in biological information such as hierarchical, synonymous, or causal relations. The relations discovered could lead to developing formal representations or learning unique patterns in biological phenomena.

Copyright © 2012 by ASME
Topics: Design , Biomimetics

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