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dc.contributor.authorNavarro-Mateu, Diego
dc.contributor.authorCocho-Bermejo, Ana
dc.date.accessioned2019-11-09T15:54:07Z
dc.date.available2019-11-09T15:54:07Z
dc.date.issued2019-08-13
dc.identifier.citationNavarro-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.ca
dc.identifier.issn2313-7673ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/1296
dc.description.abstractThe 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.ca
dc.format.extent19ca
dc.language.isoengca
dc.publisherMultidisciplinary Digital Publishing Instituteca
dc.relation.ispartofBiomimeticsca
dc.relation.ispartofseries4;3
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).ca
dc.subject.otherAlgoritmos computacionalesca
dc.subject.otherArquitecturaca
dc.subject.otherGenètica--Tècnica
dc.subject.otherAlgorismes computacionals
dc.subject.otherAlgorithms--Data processing
dc.subject.otherGenetics
dc.subject.otherGenética
dc.subject.otherGenètica
dc.titleEvo-devo algorithms: gene-regulation for digital architectureca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.embargo.termscapca
dc.subject.udc72ca
dc.identifier.doihttps://dx.doi.org/10.3390/biomimetics4030058ca


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