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Towards Identifying Biological Research Articles in Computer-Aided Biomimetics

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Biomimetic and Biohybrid Systems (Living Machines 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10384))

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Abstract

When solving engineering problems through biomimetic design, a lack of knowledge of biology often impedes the translation of biological ideas into engineering principles. Specific challenges are the identification, selection and abstraction of relevant biological information. The use of engineering terminology to search for relevant biological information is hypothesised to contribute to the adventitious character of biomimetics. Alternatively, a holistic approach is proposed where a division is made between the analysis of biological research papers and the decomposition of the engineering problem. The aim of a holisitic approach is to take into account the importance of context during analogical problem solving and provide a theoretical framework for the development of Computer-Aided Biomimetics (CAB) tools. Future work will focus on the development of tools that support engineers during the analysis of biological research papers and modelling of biological systems by providing relevant biological knowledge.

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Acknowledgements

The authors are grateful to Dr. Ing. Robert E. Wendrich and Dr. Rupert Soar for their advice. This PhD research is funded by the EPSRC Centre for Doctoral Training in Embedded Intelligence and the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh, Scotland, UK.

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Authors and Affiliations

  1. Heriot-Watt University, Edinburgh, EH14 4AS, Scotland, UK

    Ruben Kruiper, Julian F. V. Vincent, Jessica Chen-Burger & Marc P. Y. Desmulliez

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  1. Ruben Kruiper
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  2. Julian F. V. Vincent
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  3. Jessica Chen-Burger
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  4. Marc P. Y. Desmulliez
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Correspondence to Ruben Kruiper .

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Editors and Affiliations

  1. University of Lincoln, Lincoln, United Kingdom

    Michael Mangan

  2. Stanford University, Stanford, California, USA

    Mark Cutkosky

  3. Universitat Pompeu Fabra, Barcelona, Spain

    Anna Mura

  4. Universitat Pompeu Fabra, Barcelona, Spain

    Paul F.M.J. Verschure

  5. University of Sheffield, Sheffield, United Kingdom

    Tony Prescott

  6. Bristol University, Bristol, United Kingdom

    Nathan Lepora

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Kruiper, R., Vincent, J.F.V., Chen-Burger, J., Desmulliez, M.P.Y. (2017). Towards Identifying Biological Research Articles in Computer-Aided Biomimetics. In: Mangan, M., Cutkosky, M., Mura, A., Verschure, P., Prescott, T., Lepora, N. (eds) Biomimetic and Biohybrid Systems. Living Machines 2017. Lecture Notes in Computer Science(), vol 10384. Springer, Cham. https://doi.org/10.1007/978-3-319-63537-8_21

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