Abstract
In the current research literature on the use of artificial intelligence (AI) in design, we find many terms for types of design. In particular, the term routine design is often used, with a variety of definitions. The goal of this chapter is to discuss routine design, and to contrast it with some of the other types of design. We will attempt to clarify the definition of routineness, and point out what is missing from existing definitions. We will also consider definitions of, and comments about routine design from other authors, as a contrast to our definition. In conclusion, we relate the notion of class 1, 2, and 3 types of design, introduced by Brown and Chandrasekaran (1985), to ideas presented in this chapter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
AAAI (1990). AI Magazine,Special Issue on Design, Winter, Vol. 11, No. 4, American Association for Artificial Intelligence.
Balkany, A., Birmingham, W. P., and Tommelein, I. D. (1991). A knowledge-level analysis of several design tools. In J. Gero (Ed.). Artificial Intelligence in Design `91. Butterworth Heinemann, pp. 921–940.
Brown, D. C. (1990). Research into knowledge-based design at WPI. In J. S. Gero (Ed.). Applications of Artificial Intelligence in Engineering, Vol. 1, Design. London/ Berlin: Computational Mechanics Publications and Springer-Verlag.
Brown, D. C. (1991). Compilation: The hidden dimension of design systems. In H. Yoshikawa and F. Arbab (Eds.), Intelligent CAD, III, Amsterdam: North-Holland.
Brown, D. C. (1992). Design. Encyclopedia of Artificial Intelligence, 2nd Edn., S. C. Shapiro ( Ed.), J. Wiley, pp. 331–339.
Brown, D. C. and Chandrasekaran, B. (1985). Expert systems for a class of mechanical design activity. In J. S. Gero (Ed.). Knowledge Engineering in Computer-Aided Design. Amsterdam: North Holland, pp. 259–282.
Brown, D. C., and Chandrasekaran, B. (1989). Design Problem Solving: Knowledge Structures and Control Strategies. Research Notes in Artificial Intelligence Series, Morgan Kaufmann Publishers, Inc.
Chandrasekaran, B. (1990). Design problem solving: a task analysis. Al Magazine, Special Issue on Design, Winter, Vol. 11, No. 4, American Association for Artificial Intelligence, pp. 59–71.
Dixon, J. R., Duffey, M. R., Irani, R. K., Meunier, K. L., and Orelup, M. F. (1988). A proposed taxonomy of mechanical design problems. Proceedings of the ASME Computers in Engineering Conference. San Francisco, CA, Vol. 1, p. 41.
Finger, S., and Dixon, J. R. (1989). A review of research in mechanical engineering design, Part I: descriptive, prescriptive, and computer-based models of design. Research in Eng. Design, 1(1), 51.
Gero, J. S. (1990). Design prototypes: A knowledge representation schema for design. AI Magazine, Special Issue on Design, Winter, Vol. 11, No. 4, American Association for Artificial Intelligence, pp. 26–36.
Gero, J. S., and Maher, M. L., Eds. (1989). Proc. of the Workshop on Modeling Creativity and Knowledge-Based Creative Design. University of Sydney.
Hayes-Roth, B. (1990). Three topics for discussion. Working Notes for the Workshop on Creating a Scientific Community at the Interface between Engineering Design and Al. Engineering Design Research Center, Carnegie-Mellon University, Pittsburgh, PA, p. 12.
Joskowicz, L., Williams, B., Cagan, J., and Dean, T. Eds. (1992). Symposium: Design from Physical Principles, Working Notes, AAAI Fall Symposium, October, Cambridge, MA.
Maher, M. L., and Fenves, S. J. (1985). HI-RISE: A knowledge-based expert system for the preliminary structural design of high rise buildings. Report No. R-85–146, Dept. of Civil Engineering, Carnegie-Mellon University, Pittsburgh, PA.
Mittal, S., Dym, C. L., and Morjaria, M. (1986). PRIDE: An expert system for the design of paper handling systems. IEEE Computer Magazine, Special Issue on Expert Systems for Engineering Problems.
Orelup, M. F., Dixon, J. R., Cohen, P. R. and Simmons, M. K. (1988). Dominic II: Meta-level control in iterative redesign. Proc. 7th National Conf. on Artificial Intelligence, AAAI, St. Paul, MN.
Ramachandran, N., Shah, A., and Langrana, N. A. (1988). Expert system approach in design of mechanical components. Proc. ASME Int. Computers in Engineering Conf., San Francisco, CA.
Snavely, G. L., Pomrehn, L. P., and Papalambros, P. Y. (1990). Toward a vocabulary for classifying research in mechanical design automation. First International Workshop on Formal Methods in Engineering Design, Manufacturing and Assembly.
Sriram, D., and Tong, C. (1990). AI and Engineering Design. Notes for Tutorial WP2, AAAI-90: the 8th Nat. Conf. on Artificial Intelligence, Boston, MA.
Tomiyama, T. (1990). Intelligent CAD Systems. Notes for Tutorial, Eurographics ‘80, Montreux, France.
Ulrich, K. T., and Seering, W. P. (1989). Synthesis of schematic descriptions in mechanical design. Research in Engineering Design. New York: Academic Press, Vol. 1, No. 1, p. 3.
Waldron, M. B. (1990). Understanding design. In H. Yoshikawa and T. Holden (Eds.). Intelligent CAD, II. Amsterdam: North-Holland, pp. 73–87.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer Science+Business Media New York
About this chapter
Cite this chapter
Brown, D.C. (1996). Routineness Revisited. In: Waldron, M.B., Waldron, K.J. (eds) Mechanical Design: Theory and Methodology. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2561-2_9
Download citation
DOI: https://doi.org/10.1007/978-1-4757-2561-2_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2563-6
Online ISBN: 978-1-4757-2561-2
eBook Packages: Springer Book Archive