The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A functional representation for aiding biomimetic and artificial inspiration of new ideas
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Engineering Design: A Systematic Approach
(1963) · Students Quarterly Journal · doi:10.1049/sqj.1963.0055 · Cited by 4,100
Supporting conceptual design based on the function-behavior-state modeler
Umeda, Y., Ishii, M., Yoshioka, M., Shimomura, Y., & Tomiyama, T. (1996) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060400001621 · Cited by 481
Design, analogy, and creativity
Gael, A. K. (1997) · IEEE Expert · doi:10.1109/64.590078 · Cited by 355
Function–behavior–structure paths and their role in analogy-based design
Qian, L., & Gero, J. S. (1996) · Artificial Intelligence for Engineering Design, Analysis and Manufacturing · doi:10.1017/s0890060400001633 · Cited by 283
Stimulating Ideas Through Creative Software
MacCrimmon, K. R., & Wagner, C. (1994) · Management Science · doi:10.1287/mnsc.40.11.1514 · Cited by 221
Cats' Paws and Catapults: Mechanical Worlds of Nature And People
Vogel, S. K., & Berg, H. C. (1998) · Physics Today · doi:10.1063/1.882490 · Cited by 152
Innovation in Analogical Design: A Model-Based Approach
Bhatta, S. R., Goel, A. K., & Prabhakar, S. (1994) · Springer eBooks · doi:10.1007/978-94-011-0928-4_4 · Cited by 84
Creativity in the organization: the role of individual creative problem solving and computer support
Kletke, M. G., Mackay, J. M., Barr, S. H., & Jones, B. (2001) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2001.0467 · Cited by 43
Cited by
Sarkar, P., & Chakrabarti, A. (2011) · Design Studies · doi:10.1016/j.destud.2011.01.002 · Cited by 451
Self-citationFixation and creativity in concept development: The attitudes and practices of expert designers
Crilly, N. (2015) · Design Studies · doi:10.1016/j.destud.2015.01.002 · Cited by 330
Process models in design and development
Wynn, D. C., & Clarkson, P. J. (2018) · Research in Engineering Design · doi:10.1007/s00163-017-0262-7 · Cited by 319
Chan, J., Fu, K., Schunn, C., Cagan, J., Wood, K., & Kotovsky, K. (2011) · Journal of Mechanical Design · doi:10.1115/1.4004396 · Cited by 288
Data-Driven Design-By-Analogy: State-of-the-Art and Future Directions
Jiang, S., Hu, J., Wood, K. L., & Luo, J. (2022) · Journal of Mechanical Design · doi:10.1115/1.4051681 · Cited by 86
Metadata
- Authors
- CHAKRABARTI, A., SARKAR, P., LEELAVATHAMMA, B., & NATARAJU, B. S.
- Venue
- Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Publisher
- Cambridge University Press (CUP)
- Published
- 2005-05
- Volume
- 19
- Issue
- 2
- Pages
- 113-132
- ISSN
- 0890-0604 (ISSN-L)
- 1469-1760
- OpenAlex
- W1971379517
- Cited by
- 411
- References
- 8
- FWCI
- 21.77
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A functional representation for aiding biomimetic and artificial inspiration of new ideas. https://app.cochat.ai/papers/10.1017/s0890060405050109
- The paper
- CHAKRABARTI, A., SARKAR, P., LEELAVATHAMMA, B., & NATARAJU, B. S. (2005). A functional representation for aiding biomimetic and artificial inspiration of new ideas. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. https://doi.org/10.1017/s0890060405050109
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
