Charting a Course for Computer-Aided Bio-Inspired Design

Bio-inspired design (BID) is an emerging research area in design, biology, computing, and engineering that seeks to systematically mine biological knowledge to solve design problems. To promote BID research, and especially research on computer-aided BID, the United States National Science Foundation (NSF) recently sponsored two workshops. These workshops served as the catalysis for this book. In this chapter, we review the discussions at the two workshops. We also sketch the outline of a research program on computer-aided BID that emerged from the workshops.

[1]  L. H. Shu,et al.  Using descriptions of biological phenomena for idea generation , 2008 .

[2]  Ashok K. Goel,et al.  Analogical Problem Evolution in Biologically Inspired Design , 2014 .

[3]  L. H. Shu,et al.  Biomimetic design through natural language analysis to facilitate cross-domain information retrieval , 2007, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[4]  Ashok K. Goel,et al.  Foraging for Inspiration: Understanding and Supporting the Online Information Seeking Practices of Biologically Inspired Designers , 2011 .

[5]  Jacquelyn K. S. Nagel,et al.  A computational approach to biologically inspired design , 2011, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[6]  Jamal O. Wilson,et al.  A study of biologically-inspired design as a context for enhancing student innovation , 2009, 2009 39th IEEE Frontiers in Education Conference.

[7]  Amaresh Chakrabarti,et al.  The effect of representation of triggers on design outcomes , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[8]  J. Vincent,et al.  Biomimetics: its practice and theory , 2006, Journal of The Royal Society Interface.

[9]  L. H. Shu,et al.  A natural-language approach to biomimetic design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[10]  Ashok K. Goel,et al.  Cognitive, collaborative, conceptual and creative - Four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design , 2012, Comput. Aided Des..

[11]  Ashok K. Goel,et al.  Biologically inspired design: process and products , 2009 .

[12]  Robert L. Nagel,et al.  Exploring the Use of Functional Models in Biomimetic Conceptual Design , 2008 .

[13]  S. Vogel,et al.  Life in Moving Fluids , 2020 .

[14]  L. H. Shu,et al.  Using language as related stimuli for concept generation , 2007, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[15]  Craig A. Tovey,et al.  Enhancing Innovation Through Biologically Inspired Design , 2010 .

[16]  Jacquelyn K. S. Nagel,et al.  An Engineering-to-Biology Thesaurus for Engineering Design , 2010 .

[17]  David W. Rosen,et al.  The effects of biological examples in idea generation , 2010 .

[18]  Marc J. Weissburg,et al.  EDITORIAL: Perspectives on biologically inspired design: introduction to the collected contributions , 2007 .

[19]  Yoseph Bar-Cohen,et al.  Biomimetics—using nature to inspire human innovation , 2006, Bioinspiration & biomimetics.

[20]  Ashok K. Goel,et al.  Design Patterns and Cross-Domain Analogies in Biologically Inspired Sustainable Design , 2011, AAAI Spring Symposium: Artificial Intelligence and Sustainable Design.

[21]  Udo Lindemann,et al.  ENGINEERING DESIGN USING BIOLOGICAL PRINCIPLES , 2004 .

[22]  Tomasz Arciszewski,et al.  Bio-inspiration: Learning Creative Design Principia , 2006, EG-ICE.

[23]  Ashok K. Goel,et al.  Evaluating Biological Systems for Their Potential in Engineering Design , 2010 .

[24]  Robert L. Nagel,et al.  Function-based, biologically inspired concept generation , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[25]  Amaresh Chakrabarti,et al.  A methodology for supporting “transfer” in biomimetic design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[26]  E. B. Magrab,et al.  Training mechanical engineering students to utilize biological inspiration during product development , 2007, Bioinspiration & biomimetics.

[27]  L. H. Shu,et al.  Including Functional Models of Biological Phenomena as Design Stimuli , 2007 .

[28]  Amaresh Chakrabarti,et al.  Biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[29]  Julian F V Vincent Deconstructing the design of a biological material. , 2005, Journal of theoretical biology.

[30]  Ashok K. Goel,et al.  A content account of creative analogies in biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[31]  Yoseph Bar-Cohen,et al.  Biomimetics: Nature-Based Innovation , 2011 .

[32]  Julie S. Linsey,et al.  Methods for Supporting Bioinspired Design , 2011 .

[33]  Ashok K. Goel,et al.  An information-processing account of creative analogies in biologically inspired design , 2011, C&C '11.

[34]  Richard H. C. Bonser,et al.  Technology trajectories, innovation, and the growth of biomimetics , 2007 .

[35]  Steven Vogel,et al.  Life's Devices , 2020 .

[36]  Daniel A. McAdams,et al.  Biologically Meaningful Keywords for Functional Terms of the Functional Basis , 2011 .

[37]  L. H. Shu,et al.  Biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[38]  Julie S. Linsey,et al.  Concepts in Biomimetic Design: Methods and Tools to Incorporate Into a Biomimetic Design Course , 2011 .

[39]  Amaresh Chakrabarti,et al.  An Integrated Model of Designing , 2010, J. Comput. Inf. Sci. Eng..

[40]  Ashok K. Goel,et al.  Compound Analogical Design: Interaction between Problem Decomposition and Analogical Transfer in Biologically Inspired Design , 2008 .

[41]  Frank E. Fish,et al.  Limits of nature and advances of technology: What does biomimetics have to offer to aquatic robots? , 2006 .

[42]  Michael French,et al.  Invention and evolution : design in nature and engineering, 2nd ed. , 1988 .

[43]  Amaresh Chakrabarti,et al.  A functional representation for aiding biomimetic and artificial inspiration of new ideas , 2005, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.