| authors |
Liu, Yu Tung |
| year |
1996 |
| title |
Connectionist CAAD for Restructuring Shapes in Terms of Emergent Subshapes |
| source |
CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 173-190 |
| doi |
https://doi.org/10.52842/conf.caadria.1996.173
|
| summary |
Designers naturally restructure shapes in terms of emergent subshapes in the process of design. According to the result of a psychological experiment about how experienced and non-experienced designers see shapes, only experienced designers can encode implicit subshapes emerged from the primary shapes. Many symbolic approaches have been considered in addressing this focused problem. On the other hand, the issue is also encountered by connectionist networks, also called parallel distributed models or neural networks. Recognizing both explicit and implicit emergent subshapes has been explored using connectionist networks associated with appropriate mechanisms of visual attention, namely recurrent attention and searchlight attention in combination. The distinction between symbolic and connectionist computations of shapes is discussed. |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,009,266 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:59 |
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