Towards Identifying Biological Research Articles in Computer-Aided Biomimetics

Ruben Kruiper; Julian Vincent; Jessica Chen-Burger; Marc Phillipe Yves Desmulliez

doi:10.1007/978-3-319-63537-8_21

Towards Identifying Biological Research Articles in Computer-Aided Biomimetics

Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Phillipe Yves Desmulliez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

119 Downloads (Pure)

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.

Original language	English
Title of host publication	Biomimetic and Biohybrid Systems
Editors	Michael Mangan, Mark Cutkosky, Anna Mura, Paul F. M. J. Verschure, Tony Prescott, Nathan Lepora
Publisher	Springer
Pages	242-254
Number of pages	13
ISBN (Electronic)	9783319635378
ISBN (Print)	9783319635361
DOIs	https://doi.org/10.1007/978-3-319-63537-8_21
Publication status	Published - 16 Jul 2017
Event	6th International Conference on Biomimetic and Biohybrid Systems - Stanford, United States Duration: 26 Jul 2017 → 28 Jul 2017

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer International Publishing
Volume	10384
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Biomimetic and Biohybrid Systems
Country/Territory	United States
City	Stanford
Period	26/07/17 → 28/07/17

Keywords

Bio-mimetics
biohybrid
robots
3D printing
Deep Learning
human robot interaction
brain based systems
cognition
artificial life
soft robots

Access to Document

10.1007/978-3-319-63537-8_21

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This is a post-peer-review, pre-copyedit version of an article published in Biomimetic and Biohybrid Systems. Living Machines 2017. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-63537-8_21
Accepted author manuscript, 370 KBLicence: All Rights Reserved

Yun-Heh Chen-Burger
- Y.J.ChenBurgerhw.acuk
- School of Mathematical & Computer Sciences - Associate Professor
- School of Mathematical & Computer Sciences, Computer Science - Associate Professor
Person: Academic (Teaching)

Cite this

Kruiper, R., Vincent, J., Chen-Burger, J., & Desmulliez, M. P. Y. (2017). Towards Identifying Biological Research Articles in Computer-Aided Biomimetics. In M. Mangan, M. Cutkosky, A. Mura, P. F. M. J. Verschure, T. Prescott, & N. Lepora (Eds.), Biomimetic and Biohybrid Systems (pp. 242-254). (Lecture Notes in Artificial Intelligence; Vol. 10384). Springer. https://doi.org/10.1007/978-3-319-63537-8_21

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title = "Towards Identifying Biological Research Articles in Computer-Aided Biomimetics",

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.",

keywords = "Bio-mimetics, biohybrid, robots, 3D printing, Deep Learning, human robot interaction, brain based systems, cognition, artificial life, soft robots",

author = "Ruben Kruiper and Julian Vincent and Jessica Chen-Burger and Desmulliez, {Marc Phillipe Yves}",

year = "2017",

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doi = "10.1007/978-3-319-63537-8_21",

language = "English",

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series = "Lecture Notes in Artificial Intelligence",

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booktitle = "Biomimetic and Biohybrid Systems",

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Kruiper, R, Vincent, J, Chen-Burger, J & Desmulliez, MPY 2017, Towards Identifying Biological Research Articles in Computer-Aided Biomimetics. in M Mangan, M Cutkosky, A Mura, PFMJ Verschure, T Prescott & N Lepora (eds), Biomimetic and Biohybrid Systems. Lecture Notes in Artificial Intelligence, vol. 10384, Springer, pp. 242-254, 6th International Conference on Biomimetic and Biohybrid Systems, Stanford, California, United States, 26/07/17. https://doi.org/10.1007/978-3-319-63537-8_21

Towards Identifying Biological Research Articles in Computer-Aided Biomimetics. / Kruiper, Ruben; Vincent, Julian; Chen-Burger, Jessica et al.
Biomimetic and Biohybrid Systems. ed. / Michael Mangan; Mark Cutkosky; Anna Mura; Paul F. M. J. Verschure; Tony Prescott; Nathan Lepora. Springer, 2017. p. 242-254 (Lecture Notes in Artificial Intelligence; Vol. 10384).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Chen-Burger, Jessica

AU - Desmulliez, Marc Phillipe Yves

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N2 - 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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KW - artificial life

KW - soft robots

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PB - Springer

T2 - 6th International Conference on Biomimetic and Biohybrid Systems

Y2 - 26 July 2017 through 28 July 2017

ER -

Towards Identifying Biological Research Articles in Computer-Aided Biomimetics

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Publication series

Conference

Keywords

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Yun-Heh Chen-Burger

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