id |
ecaade2010_165 |
authors |
Wassermann, Klaus |
year |
2010 |
title |
SOMcity: Networks, Probability, the City, and its Context |
source |
FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.197-205 |
doi |
https://doi.org/10.52842/conf.ecaade.2010.197
|
summary |
Cities have always been locations of densified collections of various kinds of networks. While usually networks are conceived as a kind of immaterial logistic devices, we emphasize another quality of networks, their capabilities for associative learning. We propose autonomous associative networks in their probabilistic flavor, such as so-called Self-Organizing Maps, as abstract candidate structures for simulation experiments and as actualized structures of real cities as well. The properties of Self-Organizing Maps allow to introduce a whole new area of analytical procedures to conceive of the city and its properties. It also makes it possible to operationalize the attractivity of cities or the success of the implementation of urban planning. |
wos |
WOS:000340629400021 |
keywords |
Urban theory; Participation; Self-organizing maps (SOM); Associativity; Network-based metric |
series |
eCAADe |
email |
|
full text |
file.pdf (184,440 bytes) |
references |
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last changed |
2022/06/07 07:58 |
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