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Languages: English
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Subjects: NA
The paper aims to show an automated methodology for the appropriate redistribution of usable space within urban morphological envelopes. The methodology has been incrementally developed over four years and has been implemented through annual student projects. The influence for the project was taken from the natural environment, which possesses evolutionary patterns that have a base code and inherent programmes (scripts). Natural patterns are generative, the constituents recyclable; artificial landscape patterns fail to evolve, they are deserted rather than recycled. They become patterns in the dust. Inhabited landscape needs a means of starting from simplicity and building into the most complex of systems that are capable of re-permutation over time. The base blocks within this programme are termed sprites: They constitute a small package of spatial information derived from a measured analysis of existing morphologies. This spatial information consisting of that indivisible formulation that generates the overall envelope of the building through its multiplication relative to the particular circumstances. In some cases this ‘minimum formulation’ is based on the singular human space necessary to carry out a specific task related to that use e.g. administration, in other cases it relates to a constructional format, e.g. production, or the size of a machine e.g. transportation. These sprites are then imbued with interrelated behavioural ‘accretive’ programmes associated with the parameters that tend to generate their envelope forms termed here ‘Megalope Patterns’. Behavioural programmes are interrelated, acting together to create a particular form at a particular location in the existing city. This paper thence describes the current development of the project’s methodologies in terms of a shift from use of the computer as a tool for data manipulation to embracing the computer as a design partner. The generative application of the software used in the project (Archi-CAD) is manipulated through its programming language (GDL) in order to create dynamic, self-locating ‘intelligent’ scripts which are programmable, in terms of their characteristics, by the students.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • J. Frazer, An Evolutionary Architecture AA Publications, London (1995). Mae-Wan Ho, The New Age of the Organism, AD: New Science = New Architecture (1997). S. Allen, From Object to Field, Ad 127 (1997). D. Nicholson-Cole, The GDL Cookbook Marmalade, Nottingham (1998).
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