Evo-devo algorithms: gene-regulation for digital architecture
The majority of current visual-algorithmic architecture is constricted to specific parameters that are gradient related, keeping their parts’ relation fixed within the algorithm, far away from a truly parametric modeling with a flexible topology. Recent findings around genetics and certain genes capable of shape conditioning (development) have succeeded in recovering the science of embryology as a valid field that connects and affects the evolutionary ecosystem, showing the existence of universal mechanisms that are present in living species, thus describing powerful strategies for generation and emergence. Therefore, a new dual discipline is justified: Evolutionary developmental biology science. Authors propose the convergence of genetics algorithms and simulated features from evolutionary developmental biology into a single data-flow that will prove itself capable of generating great diversity through a simple and flexible structure of data, commands, and polygonal geometry. For that matter, a case study through visual-algorithmic software deals with the hypothesis that for obtaining a greater emergence and design space, a simpler and more flexible approach might only be required, prioritizing hierarchical levels over complex and detailed operations.
72 - Arquitectura
Multidisciplinary Digital Publishing Institute
Is part of
Navarro-Mateu, Diego; Cocho-Bermejo, Ana. Evo-Devo Algorithms: Gene-Regulation for Digital Architecture. Biomimetics, 2019, vol. 4, núm. 3, art. 58, p. 1-19. Disponible en: <https://www.mdpi.com/2313-7673/4/3/58>. Fecha de acceso: 9 nov 2019. DOI: 10.3390/biomimetics4030058.
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