The Idealized Design Process

  • Dan Braha
  • Oded Maimon
Part of the Applied Optimization book series (APOP, volume 17)


This chapter attempts to scientifically define important aspects of the design process including: the feasibility to design, the role of the designer in the design process, the human-machine interface, and the abilities of a human designer. The intuitive concept of the design process as a mapping from the desired function and constraints, called specifications, to the artifact description is formalized in this chapter by introducing the notion of an idealized design process. The function and attribute spaces are represented by propositional calculus (see Appendix A). The principle of design consistency; which, roughly speaking, states that small changes in specifications should lead to small changes in design (and vice versa) is formalized by introducing the notion of a continuous mapping of one closure space to another. The concept of a basis for the artifact and function spaces is introduced, and its relation with the principle of design consistency is explored.


Functional Property Function Space Attribute Space Structural Description Closure Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Yoshikawa, “General Design Theory and a CAD System,” in T. Sata and E. Warman, editors, Man-Machine Communication in CAD/CAM, Proceedings of the IFIP WG5.2–5.3 Working Conference, Amsterdam, pp. 35–57, 1981.Google Scholar
  2. 2.
    Tomiyama, “From General Design Theory to Knowledge Intensive Engineering,” Artificial Engineering for Engineering Design, Analysis, and Manufacturing, Vol. 8 (4), 1994.Google Scholar
  3. Tomiyama and P.J.W. Ten Hagen, “Organization of Design Knowledge in an Intelligent CAD Environment”, in J.S. Gero, editor, Expert Systems in Computer-Aided Design, Amsterdam, pp. 119–152, 1987.Google Scholar
  4. 4.
    Yoram Reich, “A Critical Review of General Design Theory,” Research in Engineering Design, 1995.Google Scholar
  5. 5.
    Croom, F., Principles of Topology, Sounders College Publishing, Chicago, 1989.Google Scholar
  6. 6.
    Newell, A. and Simon, H. A., Human Problem Solving. Englewood Cliffs, NJ: Prentice-Hall, 1972.Google Scholar
  7. 7.
    Nilsson, N. J., Principles of Artificial Intelligence, Tioga Publishing Co., Palo Alto, CA, 1980.MATHGoogle Scholar
  8. 8.
    Garey, M.R. and Johnson, D.S., Computers and Intractability: A guide to the Theory of NP-Completeness. San Francisco: W. H. Freeman and Company, 1979.MATHGoogle Scholar
  9. 9.
    Cech, E., Topological Spaces, Wiley, London, 1966.MATHGoogle Scholar
  10. 10.
    Hoperoft, J. E., and Ullman, J. D., Introduction to Automata Theory, Languages, and Computation, Addison-Wesley, Reading, MA, 1979.Google Scholar
  11. 11.
    Ulrich, K. T., Computation and Pre-parametric Design, Technical Report 1043, Massachusetts Institute of Technology, Artificial Intelligence Laboratory, Cambridge, 1988.Google Scholar
  12. 12.
    Pugh S., Total Design.,Addison-Wesley, New York, 1990.Google Scholar
  13. 13.
    Suh, N.P., The Principles of Design. New York: Oxford University Press, 1990.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Dan Braha
    • 1
  • Oded Maimon
    • 2
  1. 1.Department of Industrial EngineeringBen Gurion UniversityBeer ShevaIsrael
  2. 2.Department of Industrial EngineeringTel-Aviv UniversityTel-AvivIsrael

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