Abstract:This paper presents a bioinspiration approach that is able to scalably leverage the ever-growing body of biological information in natural-language format. The ideation tool AskNature, developed by the Biomimicry 3.8 Institute, is expanded with an algorithm for automated classification of biological strategies into the Biomimicry Taxonomy, a three-level, hierarchical information structure that organizes AskNature's database. In this way, the manual work entailed by the classification of biological strategies c… Show more
“…Furthermore, a scalable extension is proposed to this approach by Vandevenne, Verhaegen, Dewulf, and Duflou (2014) who developed an algorithm aiming at automated classification of biological strategies in AskNature's Biomimicry Taxonomy. Scalability, in this context, refers to the ability of the approach to integrate large biological knowledge bases.…”
Section: Bid Supporting Toolsmentioning
confidence: 99%
“…More details about AskNature, its use and its scalability are provided by Deldin and Schuknecht (2014) and Vandevenne et al (2014).…”
Section: Bid Supporting Toolsmentioning
confidence: 99%
“…Hence the test conditions represent the information returned from problem formulation and search, respectively SBID process steps 1 and 2 (Vandevenne et al, 2014). For AskNature these steps translate to the selection of a relevant functional class and the retrieval of the biological strategies previously assigned to this class by AskNature experts.…”
With a two-decade consistent research interest for Systematic BiologicallyInspired Design, a number of methods and tools to support bio-ideation have been proposed. However, objective quantification of the effects these aids have on the design outcomes is rare. This contribution presents an impact analysis of the most popular knowledge-based tool, AskNature, in the form of an outcomebased study. The results consistently support a common claim used in favour of bio-inspired design, i.e. the expectation of identifying more out-of-the-box solutions. Furthermore, to further facilitate biological solution analysis and cross-domain knowledge transfer, an adaptation to AskNature's stimuli format d i.e. adding a graphical illustration of the biological solution principle d is validated to further boost novelty. C reative problem solving is a key task for companies pursuing inventions that may grow into successful innovations. One strategy for solving new problems is learning from previously solved analogous problems. In Design-by-Analogy (DbA) a solution principle behind an already solved problem is transferred to solve a new problem. For example, when looking for new ways to unfold a tent, products with similar functionality, like for instance umbrellas, can be sources of inspiration and knowledge transfer. Biologically-Inspired Design (BID) is a specific type of between domain DbA where inspiration is taken from the natural world (source domain) to solve technical problems or challenges (target domain). Three frequently used arguments for looking at nature for inspiration are (1) the proven performance of biological systems, (2) the potential for sustainable products and (3) the potential for finding out-of-the-box solutions. The first, proven performance of biological systems, logically follows from the overwhelming evidence supporting evolution, i.e. the change in inherited characteristics of biological populations over successive generations, a continuous repetition of a non-random selection mechanism (survival of the fittest) applied to traits subject to random variation. The products of these continuous improvement iterations d solution principles of biological systems d Corresponding author: Dennis Vandevenne dennis.vandevenne@ kuleuven.be www.elsevier.com/locate/destud 0142-694X Design Studies --(2016) --e--http://dx.Please cite this article in press as: Vandevenne, D., et al., Enhancing novelty with knowledge-based support for Biologically-Inspired Design, Design Studies (2016), http://dx.
“…Furthermore, a scalable extension is proposed to this approach by Vandevenne, Verhaegen, Dewulf, and Duflou (2014) who developed an algorithm aiming at automated classification of biological strategies in AskNature's Biomimicry Taxonomy. Scalability, in this context, refers to the ability of the approach to integrate large biological knowledge bases.…”
Section: Bid Supporting Toolsmentioning
confidence: 99%
“…More details about AskNature, its use and its scalability are provided by Deldin and Schuknecht (2014) and Vandevenne et al (2014).…”
Section: Bid Supporting Toolsmentioning
confidence: 99%
“…Hence the test conditions represent the information returned from problem formulation and search, respectively SBID process steps 1 and 2 (Vandevenne et al, 2014). For AskNature these steps translate to the selection of a relevant functional class and the retrieval of the biological strategies previously assigned to this class by AskNature experts.…”
With a two-decade consistent research interest for Systematic BiologicallyInspired Design, a number of methods and tools to support bio-ideation have been proposed. However, objective quantification of the effects these aids have on the design outcomes is rare. This contribution presents an impact analysis of the most popular knowledge-based tool, AskNature, in the form of an outcomebased study. The results consistently support a common claim used in favour of bio-inspired design, i.e. the expectation of identifying more out-of-the-box solutions. Furthermore, to further facilitate biological solution analysis and cross-domain knowledge transfer, an adaptation to AskNature's stimuli format d i.e. adding a graphical illustration of the biological solution principle d is validated to further boost novelty. C reative problem solving is a key task for companies pursuing inventions that may grow into successful innovations. One strategy for solving new problems is learning from previously solved analogous problems. In Design-by-Analogy (DbA) a solution principle behind an already solved problem is transferred to solve a new problem. For example, when looking for new ways to unfold a tent, products with similar functionality, like for instance umbrellas, can be sources of inspiration and knowledge transfer. Biologically-Inspired Design (BID) is a specific type of between domain DbA where inspiration is taken from the natural world (source domain) to solve technical problems or challenges (target domain). Three frequently used arguments for looking at nature for inspiration are (1) the proven performance of biological systems, (2) the potential for sustainable products and (3) the potential for finding out-of-the-box solutions. The first, proven performance of biological systems, logically follows from the overwhelming evidence supporting evolution, i.e. the change in inherited characteristics of biological populations over successive generations, a continuous repetition of a non-random selection mechanism (survival of the fittest) applied to traits subject to random variation. The products of these continuous improvement iterations d solution principles of biological systems d Corresponding author: Dennis Vandevenne dennis.vandevenne@ kuleuven.be www.elsevier.com/locate/destud 0142-694X Design Studies --(2016) --e--http://dx.Please cite this article in press as: Vandevenne, D., et al., Enhancing novelty with knowledge-based support for Biologically-Inspired Design, Design Studies (2016), http://dx.
“…The biggest database of biological strategies is AskNature which was created in 2008 and gathers 1671 biological strategies and 201 inspired ideas (Biomimicry Institute 2002). Even if the database is enlarged little by little, there is a real need to hasten this process in order for it to represent a viable solution in the long run (Vandevenne et al 2015). Biomimetic design teams that directly include a biological expertise (i.e.…”
Engineering design, as the science framing the practice of design through the elaboration of tools and processes, is constantly evolving towards new innovative strategies. To thrive in their extremely competitive environment, it appears that both industrial and natural worlds are highly dependent on innovation, optimisation and selection. These commonalities have led designers to look to living beings for inspiration. This innovation strategy, referred to as biomimetics, isn't a new approach but its methodological aspects are still under development. This article deals with biologists' contribution throughout the biomimetic design process. After introducing the context and the experimental protocol, we investigated the impact of possessing a background in biology during the practice of biomimetics and compared our findings with experts' opinion. The main idea of this article is to show that to forego the integration of biologists is highly restrictive and may be one of the reasons explaining the difficulties of implementing biomimetics in the industrial context. Hence, this article argues for a new methodological framework taking into account biologists, allowing biomimetic teams to become truly interdisciplinary.
“…The biggest biomimetic database ever designed -AskNature -encompasses 1 897 elements (1 696 biological strategies and 201 inspired ideas) (Biomimicry Institue, 2018) and even if this number is substantial, it is far from being sufficient to be used as the source of biological data by design team at a global scale. As previously explained, Artificial Intelligence may be the future answer to the problem of biological data's accessibility, but sorting algorithms are for the present time under development and, as a result, don't represent an actual fitting solution (Cheong and Shu, 2012;Vandevenne et al, 2015). The limitation of biomimetic tools can be observed for each of the challenges of biomimetics.…”
Section: Current Biomimetic Tools the Unrealistic Expectationsmentioning
The strength of biomimetics comes from its ability to draw from life mechanisms and strategies to design innovative solutions. In spite of recent methodological progresses, more specifically on tools and processes, biomimetics' implementation still faces strong difficulties. Among other things, design teams have a hard time finding and selecting relevant biological strategies. Facing these challenges, we consider an alternative, yet well recognized, approach: the integration of profiles having a training in natural science within biomimetic design teams. As biologists aren't used to work in design teams, there is a need for a process actually guiding their practice in biomimetics and determining the way they will interact with the “traditional” design team. After studying the literature and asking for experts' opinion on the matter, we introduced a biomimetic design process considering this new profile as an integral part of biomimetic design teams. With the final goal of making biomimetics implementable, this proposed theoretical process is currently tested in both a student and an industrial project in order to optimize our methodological contribution with practical feedbacks.
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