Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T19:12:07.168Z Has data issue: false hasContentIssue false
  • English
  • Français

Learning representations for creative design using evolution

Published online by Cambridge University Press:  27 February 2009

Thorsten Schnier  and
John S. Gero
Thorsten Schnier
Affiliation:
Key Centre of Design Computing, Department of Architectural and Design Science, University of Sydney NSW 2006, Australia
John S. Gero
Affiliation:
Key Centre of Design Computing, Department of Architectural and Design Science, University of Sydney NSW 2006, Australia
Get access Rights & Permissions [Opens in a new window]

Extract

Creative design has been characterized in computational terms as “that design activity which occurs when a new variable is introduced into the design” (Gero, 1994). This is opposed to “routine design,” where “knowledge about variables, objectives expressed in terms of those variables, constraints expressed in terms of those variables, and the processes needed to find values for those variables, are all known a priori.” A third alternative, “innovative design,” occurs when no new variables are introduced, but when one or more variables are used with values outside the usual scope. In computational terms, routine design can also be seen as “search,” (sometimes also called “exploitation”) in so far as a certain, predefined search space is searched for a design solution. For creative design, where the search proceeds outside the boundaries of a predefined search space, the term “exploration” can be used.

Type
Research Abstracts
Information
AI EDAM , Volume 10 , Issue 2: Special Issue: Machine learning in design , April 1996 , pp. 175 - 177
Copyright
Copyright © Cambridge University Press 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Gero, J.S. (1994). Computational models of creative design processes, In AI and Creativity (Dartnall, T., Ed.), pp. 269–281. Kluwer, Dordrecht, The Netherlands.Google Scholar
Gero, J.S., & Schnier, T. (1995). Evolving representations of design cases and their use in creative design. In Preprints Computational Models of Creative Design (Gero, J.S., Maher, M.L. & Sudweeks, F., Eds.), pp. 343–368. Key Centre of Design Computing, University of Sidney, Australia.Google Scholar