Abstract
The following research discusses the application of Evo-Devo strategies through the generation of parametric rules inside parametric software (singularly parametric, with a changing structure). Based on emergence models and complex systems that create simple rules, the aim is to produce patterns of increasing complexity. These rules, because they are abstract data, can be applied to any type of geometry or topology. In a second step, the colour space (colourimetry) is applied to convey information that can then be used to express a given geometry, characteristic and/or materiality. The use (and its subsequent decoding and conversion) of colours alongside the grammar patterns through mask selection when applied meshes will form the main topic of conversation in this article. The adoption of digital modelling characteristics can stimulate better workflows. Results prove that this process greatly improves processing time, while at the same time is accessible and flexible to any design fields or modeling strategies. From these results new debates can arise regarding how individuals are analysed and about data relation between phenotype and genotype (colour-mesh).
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Navarro-Mateu, D., Cocho-Bermejo, A. (2019). Colourimetry as Strategy for Geometry Conversion: Computing Evo-Devo Patterns. In: Marcos, C. (eds) Graphic Imprints. EGA 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-93749-6_10
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