CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
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
full text file.pdf (340,904 bytes)
references Content-type: text/plain
last changed 2012/09/25 05:42
pick and add to favorite papersHOMELOGIN (you are user _anon_132891 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002