Meta-Cognitive Mappings: Growing Neural Networks for Generative Urbanism
Inhaltsverzeichnis
Reference
Phil Langley, Christian Derix, Paul S. Coates: Meta-Cognitive Mappings: Growing Neural Networks for Generative Urbanism. In: Generative Art 2007.
DOI
Abstract
This paper examines the use of dynamic learning systems and adaptive topologies within neural networks models, and their implications as a tool for architectural mappings. The principal investigation is the ability of such systems to identify/ map/ model/ represent flows within dynamic data sets and identify topological relationships between these flows.
A growing neural network [GNN] model is proposed, able to map dynamic data inputs over time. It is based on Kohonen’s early self-organising feature maps [SOM] and takes as its starting point previous work by CECA with neural networks in an architectural context, as well as other examples of neural gases, and GNNs, in order to develop a model capable of ‘autopoietic’ behaviour and ‘meta – learning’. The principal investigation is the ability of such a system to identify/ map/ model/ represent flows within dynamic data sets and identify topological relationships between these flows.
As a case study, the proposed neural network model has been used to map ‘urban territory’, as part of an on going architectural research project, based in North London. The project takes the notion of ‘urban territories’ rather than ‘urban space’ as the field for interrogation, as a description of temporal spatial occupation space, rather than spatial physical permanence.
Furthermore, the GNN may be used to identify the relationships between unused and vacant sites along the street. In this way, the GNN may become a means of proposing architectural interventions for these spaces, so that the territories of those that occupy it and the negotiations between them are not lost.
Extended Abstract
Bibtex
Used References
1. Kohonen, Teuvo, Self-Organizing Maps (Berlin: Springer-Verlag, 1995)
2. Kohonen, Teuvo, Self-Organizing Maps (Berlin: Springer-Verlag, 1995)
3. Kohonen, Teuvo, Self-Organizing Maps (Berlin: Springer-Verlag, 1995)
4. Martinetz, Thomas & Klaus Schulten, ‘Topology Representing Networks’ in Neural Networks 7(3) (1994): 507-522
5. Fritzke, Bernd, ‘A Growing Neural Gas Network Learns Topologies’ in Advances in Neural Information Processing Systems 7, ed. G. Tesauro et al. (Cambridge MA: The MIT Press, 1995)
6. Derix. C, Building a Synthetic Cognizer. Poster for the MIT Design Computational Cognition 2004 Conference, USA (2004).
7. Parvin, T, Growing Neural Gas With Self-oganizing Topologies For Spatial Description. (London : University of East London, 2005.)
8. Boeri, Stefano, ‘Borderdevices’ in Making Things Public: Atmospheres of Democracy, ed. Bruno Latour
9. www.stefanoboeri.net
10. www.multiplicity.it
11. p47 Perec, Georges, Species of Spaces and Other Pieces
12. p345 Deleuze. G. & F. Guattari, A Thousand Plateaus -Translated by Brian Massumi. (London: The Athlone Press Ltd, 1988)
13. p344 Deleuze. G. & F. Guattari, A Thousand Plateaus -Translated by Brian Massumi. (London: The Athlone Press Ltd, 1988)
14. p297 Wise J. M, 'Home: Territory and Identity'
Links
Full Text
http://www.generativeart.com/on/cic/papersGA2007/langley_derix_coates%20_GA%202007.pdf
