Quelltext der Seite Artificial Neural Network Spaces

== Reference ==
Christian Derix, Robert Thum: [[Artificial Neural Network Spaces]]. In: [[Generative Art 2000]]. 

== DOI ==

== Abstract ==
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-organisation: Neural
Networks Architectures absorb and adapt vast amount of urban data in order to adjust their
organisation to exterior changes through interior structural reconfiguration, thus producing
adaptive spatial formations.

== Extended Abstract ==

== Bibtex == 

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== Links ==
=== Full Text === 
http://www.generativeart.com/on/cic/abst2000/abst76.pdf

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