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Automated representation of style by feature space archetypes: distinguishing spatial styles from generative rules

Hanna, S; (2007) Automated representation of style by feature space archetypes: distinguishing spatial styles from generative rules. International Journal of Architectural Computing , 5 (1) pp. 2-23. 10.1260/147807707780913001. Green open access

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Abstract

Style is a broad term that could potentially refer to any features of a work, as well as a fluid concept that is subject to change and disagreement, yet approaches to representing it too often seek either a pre-defined set of generative rules or list of measurable features. Instead, a general and flexible method of retrospectively and automatically representing style is proposed based on the idea of an archetype, to which real designs can be compared, and tested with examples of architectural plans. Unlike a fixed, symbolic representation, both the measurements of features that define a style and the selection of those features themselves can be performed by the machine, making it able to generalise a definition automatically from a set of examples. This process is implemented in analysis, and coupled with a generative algorithm to produce plans in a learned style.

Type: Article
Title: Automated representation of style by feature space archetypes: distinguishing spatial styles from generative rules
Open access status: An open access version is available from UCL Discovery
DOI: 10.1260/147807707780913001
Publisher version: http://dx.doi.org/10.1260/147807707780913001
Additional information: Reproduced here by permission
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture
URI: https://discovery.ucl.ac.uk/id/eprint/4485
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