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Aesthetic Quantification as Search Criteria in Architectural Design

Aesthetic Quantification as Search Criteria in Architectural Design

Sardenberg, Victor; Theron Burger, Mirco Becker;

Article:

The paper describes a research experiment of incorporating quantitative aestheticevaluation and feeding the metric back into a parametric model to steer thesearch within the design space for a high-ranking design solution. The experimentis part of a longer-standing interest and research in quantitative aesthetics. Aweb platform inspired by dating apps was developed to retrieve an aesthetic scoreof images (drawings and photographs of architectural projects). The app andscoring system was tested for functionality against an existing dataset of aestheticmeasure (triangles, polygon nets). In the actual experiment, an evolutionaryalgorithm generated images of design candidates (phenotypes) and used theaesthetic score retrieved by the ``crowd'' of app users as a fitness function for thenext generation/population. The research is in the tradition of empiricalaesthetics of G. T. Fechner (Fechner, 1876), using a web app to crowdsourceaesthetic scores and using these to evolve design candidates. The paper describeshow the system is set up and presents its results in four distinct exercises.

Article:

The paper describes a research experiment of incorporating quantitative aestheticevaluation and feeding the metric back into a parametric model to steer thesearch within the design space for a high-ranking design solution. The experimentis part of a longer-standing interest and research in quantitative aesthetics. Aweb platform inspired by dating apps was developed to retrieve an aesthetic scoreof images (drawings and photographs of architectural projects). The app andscoring system was tested for functionality against an existing dataset of aestheticmeasure (triangles, polygon nets). In the actual experiment, an evolutionaryalgorithm generated images of design candidates (phenotypes) and used theaesthetic score retrieved by the ``crowd'' of app users as a fitness function for thenext generation/population. The research is in the tradition of empiricalaesthetics of G. T. Fechner (Fechner, 1876), using a web app to crowdsourceaesthetic scores and using these to evolve design candidates. The paper describeshow the system is set up and presents its results in four distinct exercises.

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DOI: 10.5151/proceedings-ecaadesigradi2019_088

Referências bibliográficas
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Como citar:

Sardenberg, Victor; Theron Burger, Mirco Becker; "Aesthetic Quantification as Search Criteria in Architectural Design", p. 17-24 . In: Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference, “Architecture in the Age of the 4Th Industrial Revolution”, Porto 2019, Sousa, José Pedro; Henriques, Gonçalo Castro; Xavier, João Pedro (eds.). São Paulo: Blucher, 2019.
ISSN 2318-6968, DOI 10.5151/proceedings-ecaadesigradi2019_088

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