authors |
Lee, Jia-Her |
year |
1998 |
title |
Modelling Mondrian's Design Processes and Their Architectural Associations Using Multilayer Neural Networks |
doi |
https://doi.org/10.52842/conf.caadria.1998.455
|
source |
CAADRIA ‘98 [Proceedings of The Third Conference on Computer Aided Architectural Design Research in Asia / ISBN 4-907662-009] Osaka (Japan) 22-24 April 1998, pp. 455-464 |
summary |
Can artificial intelligence be used for design behavior of human beings?
Human designer’s behavior and design thinking are extremely complicated. There is
still argument about the relationship between the two until now. Therefore, this
research only investigates regular and common design behavior. This essay is taking
Mondrian of Neo-Plasticism as an example and neural networks systems as a tool to
illustrate the core idea. It is hoped that we can simulate the design thinking ability,
such as memory association and recognition of human designers. Computation of
neural networks systems, as a result and the difference between human designers and
computer, can be discussed too. Also, since the work of Neo-Plasticism Mondrian
influences contemporary architecture design, industrial design, andvisual design
directly or indirectly, floorplans of architect John Hejduk’s works were taken as an
example to discuss the application of Neural networkss in the design field.
|
keywords |
Neural Networks, Design Processes, Neo-Plasticism, Architectural Floorplans |
series |
CAADRIA |
email |
|
more |
http://www.caadria.org |
full text |
file.pdf (120,585 bytes) |
references |
Content-type: text/plain
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Bois, Y., Joosten J., Rudenstine, A.Z. and Jassen, H. (1995)
Mondrian 1872-1994
, Bulfinch, Canada
|
|
|
|
Chomsky, N. (1989)
Aspects of the theory of syntax. Cambridge
, MA. MIT Press
|
|
|
|
Coyne, R.D. and Newton, S. (1989)
Design reasoning by association
, Environment and Planning B, Vol.17, 39-56
|
|
|
|
Coyne, R.D. and Yokozawa, M. (1992)
Computer assistance in designing from precedent
, Enviroment and Planning B: Planning and Design 19: 143-71
|
|
|
|
Datta A., Pal, T. and Parui, S. (1997)
A modified self-organizing neural net for shape extraction
, Neurocomputing, 14: 3-14
|
|
|
|
Deicher, S. (1994)
Mondrian
, TASCHEN, Germany
|
|
|
|
Hejduk, J. (1985)
Mask of Medus
, New York: Rizzoli
|
|
|
|
Liu, Y.T. (1993)
A Connectionist Approach to Shape Recognition and Transformation
, Flemming, U. & Van Wyk, S. (eds.), CAAD Futures '93, Elsevier, Amsterdam, pp. 19-36
|
|
|
|
Liu, Y.T. (1993)
Recognizing emergent subshapes in design problem solving: A connectionist investigation
, ed. F. Morgan and R. W. Pohlman, Education and Practice: The critical interface131-139. ACADIA
|
|
|
|
Liu, Y.T. (1996)
Restructuring shapes in terms of emergent subshapes: A computational and cognitive model
, Environment and planning B, Vol.23, 313-328
|
|
|
|
Simon, H.A. (1966)
Scientific Discovery and the Psychology of Problem Solving
, Colodny, R. (ed.), Mind and Cosmos, University of Pittsburgh Press, Pittsburgh, PA, pp. 22-40
|
|
|
|
Simon, H.A. (1973)
The structure of ill structured problem
, Artificial Intelligence 4, 181-201
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last changed |
2022/06/07 07:51 |
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