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 acadia11_70
authors Gutierrez, Maria-Paz
year 2011
title Innovative Puzzles
source ACADIA 11: Integration through Computation [Proceedings of the 31st Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)] [ISBN 978-1-6136-4595-6] Banff (Alberta) 13-16 October, 2011, pp. 70-71
summary Matter and information; information and matter. A puzzle unveiled little by little. Hardly surprising since every atom, molecule, and basic particle in the universe registers bits of information. All interactions between these components, inert and alive, owe their existence to matter’s intrinsic ability to process information. Such aptitude explains how complex systems can arise from fundamentally simple organizational laws. In fact, the world’s almost infinite material combinations, viable through such few basic elements, are one of the most visible expressions of these capabilities. Triggered by the developments in quantum physics across the twentieth century, our understanding of material processes radically shifted our impressions of the world. For decades our scales of perception and manipulation have continued to expand into almost unfathomable boundaries. Yet, the study of the interdependencies between matter and information is still fundamentally part of the sciences and engineering. Only just recently did architecture venture into this inherently intricate field. The subsequent set of papers here presented posit fundamental interrogations of potential interdependencies between matter and information. Without fear to confront the obstacles of delving into a largely unexplored field of architecture, these researchers forge new frontiers of interrelating computational parameters to multi-physics in the complex settings of architectural scale. Unlike other epistemologies, architecture cannot be reduced to a single scale of exploration. We can neither restrict scalar boundaries (i.e., nano to micro), nor reduce morphologies to simplify the processing of multiple physics without compromising the design problem. By default, it is more difficult to conceptually and numerically articulate the abstract and numerical criteria of complex geometries and material variables.
series ACADIA
type moderator overview
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