In-Between Architecture Computation describes the evolution of the Computational Design approach at the AedasR&D Computational Design and Research group founded in 2004 at Aedas architects in London.The approach has transformed itself from an academic inspired thinking about computing media to a more flexible model of design heuristics and search algorithms that finally start to produce new hybrid design workflows in the industry while also swimming against the industry trend of super-integration software. Only if computing is not exclusively defined through architectural design intent or purely computing logic, does computational design explore new design thinking. ᭤ Figure 1. Left: Several evolutionary generations seen from above with hybrid artificial and natural selection. Right: A generated tower showing different panel types according to solar gain before evolution.
How might it be possible to create computational systems that are sufficiently intuitive to make human experience of space a design driver? Guest‐Editor Christian Derix and Prarthana Jagannath describe a series of research projects that were undertaken at the Centre for Evolutionary Computing in Architecture (CECA) at the University of East London between 1999 and 2009, which put aside a structuralist, performance‐led approach in favour of new learning models based on artificial neural networks (ANNs) that have the capacity to respond to human activity.
This analysis investigates whether and to what degree quantifiable spatial attributes, as expressed in plan representations, can capture elements related to the experience of spatial identity. By combining different methods of shape and spatial analysis it attempts to quantify spatial attributes, predominantly derived from plans, in order to illustrate patterns of interrelations between spaces through an objective automated process. The study focuses on the scale of the urban block as the basic modular unit for the formation of urban configurations and the issue of spatial identity is perceived through consistency and differentiation within and amongst urban neighbourhoods.
Hypothesis and aims Analytical decomposition: the city through the urban blockFocusing on the scale of the urban block as the module of urban agglomerations, the analysis attempts to reveal the degree and nature of relation between quantifiable scalar, geometrical and topological spatial attributes, as they are expressed through plans, with the identity of the corresponding spaces, experienced from the point of view of the dweller and the passerby.The building blocks that compose five distinct urban neighbourhoods, four in Athens and one in London, are analysed using a set of methods for
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