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A Forward Look at Computational Support for Conceptual Design

  • John Miles
  • Lisa Hall
  • Jan Noyes
  • Ian Parmee
  • Chris Simons
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4200)

Abstract

Future research needs for computational support for conceptual design are examined. The material is the result of the work of a so called design cluster. The cluster has, through a series of workshops, defined what it believes are the salient areas in which further research is needed. The work has a strong people centred approach as it is believed that, for the near future, it is only through a combination of man and machine that acceptable designs will be achieved. The cluster has identified 5 key areas and 39 sub-classes. The discussion focuses on the key areas and how these link to future research requirements in people centred computation for conceptual design.

Keywords

Conceptual Design Design Team Cluster Member Intellectual Property Right Physical Science Research Council 
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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References

  1. 1.
    Amor, R., Betts, M., Coetzee, G.: IT for research: Recent work and future directions. ITcon 7, 245–258 (2002)Google Scholar
  2. 2.
    Cvetkovic, D., Parmee, I.: Agent-based support within an interactive evolutionary design system. AIEDAM 16(5), 311–342 (2002)CrossRefGoogle Scholar
  3. 3.
  4. 4.
    Parmee, I., Abraham, J.: Supporting implicit learning via the visualization of COGA multi-objective data. In: Proc. EVOTEC, pp. 395–402. IEEE, New York (2004)Google Scholar
  5. 5.
    Parmee, I., Hall, A., Miles, J., Noyes, J., Simons, C.: Discovery in Design: Developing a People Centred Computational Approach. In: Design 2006, Dubrovnik Croatia (2006)Google Scholar
  6. 6.
    Ullman, D., Stauffer, L., Diettrich, T.: Preliminary results of an experimental study of the mechanical design process. In: Waldron, M. (ed.) NSF workshop on the Design Process, Ohio State Univ., pp. 143–188 (1987)Google Scholar
  7. 7.
    Zhang, Y., Miles, J.: Representing the problem domain in stochastic search algorithms. In: Schnellenbach-Held, M., Hartmann, M. (eds.) Next Generation Intelligent Systems in Engineering, EG-ICE, Essen, pp. 156–168 (2004)Google Scholar
  8. 8.
    Zhang, Y., Wang, K., Shaw, D., Miles, J., Parmee, I., Kwan, A.: Representation and its Impact on Topological Search in Evolutionary Computation. In: Hughes, R. (ed.) ICCCBE XI, Montreal, Canada (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • John Miles
    • 1
  • Lisa Hall
    • 2
  • Jan Noyes
    • 3
  • Ian Parmee
    • 4
  • Chris Simons
    • 4
  1. 1.Cardiff School of EngineeringCardiff UniversityUK
  2. 2.Institute of BiotechnologyUniversity of CambridgeUK
  3. 3.Department of Experimental PsychologyUniversity of BristolUK
  4. 4.Faculty of Computing, Engineering & MathematicsUniversity West of EnglandUK

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