Artificial Neural Network Spaces

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Christian Derix, Robert Thum: Artificial Neural Network Spaces. In: Generative Art 2000.



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


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