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
Thum, Robert and Derix, Christian
Artificial Neural Network Spaces
International Conference on Generative Art
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.