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A functional representation for aiding biomimetic and artificial inspiration of new ideas

Published online by Cambridge University Press:  17 August 2005

AMARESH CHAKRABARTI ,
PRABIR SARKAR ,
B. LEELAVATHAMMA  and
B.S. NATARAJU
AMARESH CHAKRABARTI
Affiliation:
Centre for Product Design and Manufacturing, Indian Institute of Science, Bangalore 560012, India
PRABIR SARKAR
Affiliation:
Centre for Product Design and Manufacturing, Indian Institute of Science, Bangalore 560012, India
B. LEELAVATHAMMA
Affiliation:
Centre for Product Design and Manufacturing, Indian Institute of Science, Bangalore 560012, India
B.S. NATARAJU
Affiliation:
Indian Space Research Organisation Satellite Centre, Bangalore 560017, India
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Abstract

Inspiration is useful for exploration and discovery of new solution spaces. Systems in natural and artificial worlds and their functionality are seen as rich sources of inspiration for idea generation. However, unlike in the artificial domain where existing systems are often used for inspiration, those from the natural domain are rarely used in a systematic way for this purpose. Analogy is long regarded as a powerful means for inspiring novel idea generation. One aim of the work reported here is to initiate similar work in the area of systematic biomimetics for product development, so that inspiration from both natural and artificial worlds can be used systematically to help develop novel, analogical ideas for solving design problems. A generic model for representing causality of natural and artificial systems has been developed, and used to structure information in a database of systems from both the domains. These are implemented in a piece of software for automated analogical search of relevant ideas from the databases to solve a given problem. Preliminary experiments at validating the software indicate substantial potential for the approach.

Keywords

Behavioral LanguageBiomimicryDesign by AnalogyIdea GenerationInspiration
Type
Research Article
Information
AI EDAM , Volume 19 , Issue 2 , May 2005 , pp. 113 - 132
Copyright
© 2005 Cambridge University Press

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