Cumincad : CUMINCAD Papers : Paper ga0016:Artificial Neural Network Spaces

id	ga0016
authors	Thum, Robert and Derix, Christian
year	2000
title	Artificial Neural Network Spaces
source	International Conference on Generative Art
summary	In the processes of continues functional differentiation the contemporary society increasingly displays the characteristics of complex, distributed systems. In this condition architecture can no longer rely on top-down reductionist methodologies in ignoring the constituting importance of contextual parameters. The present paper describes how Artificial Neural Networks can be employed to design with-in the underlying logic of our society -the logic of distributed systems. In computer simulations the paper explores the capability of ANN to Self-organization: Neural Networks Architectures absorb and adapt vast amount of urban data in order to adjust their organization to exterior changes through interior structural reconfiguration, thus producing adaptive spatial formations.
series	other
type	normal paper
email
more	http://www.generativeart.com/
full text	file.pdf (340,904 bytes)
references	Content-type: text/plain
last changed	2012/09/25 07:42