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Design by Analogy: Synectics and Knowledge Acquisition Network

  • Sebastian KoziołekEmail author
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Truly successful engineers and inventors not only use their domain-specific knowledge; they also utilize knowledge from other domains as well as the large body of heuristics and metaheuristics. They are holistic thinkers using both their deductive (rational) and abductive (creative) capabilities. Present computing education mostly emphasizes the utilization of knowledge in the context of analysis. Unfortunately, this limited focus has a negative impact on engineering students as it severely limits their ability to become inventors. In computer-aided design, models utilize attributes only from the used representation space. Therefore, the nature of such space is decisive where innovation of results is concerned. How to build a representation space for the problem-specific knowledge but allowing exploration leading to innovation is a challenge within the intersection of engineering and computer science. This paper proposes a method for building a design representation space capturing domain knowledge and at the same time creating an opportunity to acquire knowledge outside the problem domain. This dual emphasis increases the potential for producing novel designs. The method combines the advantages of heuristic thinking based on Synectics with traditional systematic and analytical thinking and is intended mostly for use in conceptual design. It will allow designers to develop a fundamental understanding how to acquire knowledge necessary for conceptual design while preserving their ability to explore various domains and to expand a representation space.

Keywords

Creativity Heuristic thinking Synectics Computing education 

Notes

Acknowledgements

This article is a result of research conducted in cooperation with Professor Tomasz Arciszewski from George Mason University, VA, USA. The Synectics session was held at George Mason University and Wroclaw University of Technology. The author thanks all synectors for their participation and numerous contributions, including David Flanigan, Mario Cardullo and Ali Adish. Finally, the authors would like to acknowledge contributions of Izabela Koziolek who has prepared all drawings used in Fig. 6.

References

  1. 1.
    Gero, J., “Computational Models of Innovative and Creative Design Processes, special double issue, “Innovation: the key to Progress in Technology and Society,” Arciszewski, T., (Guest Editor), Journal of Technological Forecasting and Social Change, North-Holland, Vol. 64, No. 2&3, June/July, 2000.Google Scholar
  2. 2.
    Karlinski J., Rusinski E., Lewandowski T., New generation automated drilling machine for tunnelling and underground mining work, Automation in Construction, vol. 17, nr 3, s. 224–231, 2008.Google Scholar
  3. 3.
    Kicinger R, Presentation on Bioinspired Design. IT 896—DESIGN AND INVENTIVE ENGINEERING, George Mason University, 2010. CHANGE.Google Scholar
  4. 4.
    Gelb. M., Miller Caldicott S., Innovate Like Edison: The Five-Step System for Breakthrough Business Success, Dutton Books, 2007.Google Scholar
  5. 5.
    Mysior M., Biernacki J., Kassolik P., “Structure of pneumatic driven vehicle based on Pneumobil,” in IV Wroclaw Conference of Students of Technical and Nature Science Puzzel 2015, 2015, pp. 206–211 (In polish).Google Scholar
  6. 6.
    Arafat G., Goodman B., Arciszewski T., “Ramzes: A Knowledge-Based System for Structural Concepts Evaluation,” Special Issue on Artificial Intelligence in Civil and Structural Engineering, International Journal on Computing Systems in Engineering, pp. 211–221, 1992.Google Scholar
  7. 7.
    Shelton, K., Arciszewski, T., “Formal Innovation Criteria,” International Journal of Computer Applications in Technology, pp. 21–32, January, 2008.Google Scholar
  8. 8.
    Zlotin B., Zusman A., Directed Evolution: Philosophy, Theory and Practice, Ideation International Inc., 2001.Google Scholar
  9. 9.
    Kano N., Nobuhiko S., Fumio T., Shinichi T.: Attractive quality and Must-Be Quality, Hinshitsu, 1984.Google Scholar
  10. 10.
    Kleyner A. Sandborn P., Boyle J., “Minimization of Life Cycle Costs Through Optimization of the Validation Program—A Test Sample Size and Warranty Cost Approach”, Reliability and Maintainability, 2004 Annual Symposium—RAMS, 26–29 January, 2004.Google Scholar
  11. 11.
    Arciszewski, T., Successful Education. How to Educate Creative Engineers, Successful Education LLC, pp. 200, December, 2009.Google Scholar
  12. 12.
    Arciszewski, T., Grabska, E., Harrison, C., “Visual Thinking in Inventive Design: Three Perspective”, Soft Computing in Civil and Structural Engineering, Topping, B.H.V. and Tsompanakis, Y, (Editors), chapter 6, pp. 179–202, Saxe-Coburg Publications, UK, 2009.Google Scholar
  13. 13.
    Gordon W. J., Synectics: The Development of Creative Capacity, Harper and Row, 1961.Google Scholar
  14. 14.
    Gelb. M., How to Think Like Leonardo da Vinci: Seven Steps to Genius Every Day, Dell Publishing, 1998.Google Scholar
  15. 15.
    Brewbaker J., Metaphor making through Synectics, Exercise Exchange, Spring 2001, Vol. 46, No. 2. ProQuest Education Journal, pp. 6.Google Scholar
  16. 16.
    Harrison C., “Inventive Design, Neuroscience and Cognitive Psychology,” an invited lecture, CEIE 896, Design And Inventive Engineering, George Mason University, 2010.Google Scholar
  17. 17.
    Kolb E. M. W., Hey J., Hans-Jürgen S., Agogino A. M., “Generating compelling metaphors for design”, Proceedings of the 20th International Conference on Design Theory and Methodology, DTM 2008, August 3–6, 2008, New York City, New York, USA.Google Scholar
  18. 18.
    Lerdahl E., “Using Fantasy Story Writing and Acting for Developing Product Ideas”, Proceedings of EURAM, 2002.Google Scholar
  19. 19.
    Stambolińska, Zaklina; Rusiński, Eugeniusz; Moczko, Przemysław: Proactive Condition Monitoring of Low- Speed Machines. © Springer International Publishing Switzerland 2015.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Machine Design and ResearchWrocław University of TechnologyWroclawPoland

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