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Evo-devo algorithms: gene-regulation for digital architecture
dc.contributor.author | Navarro-Mateu, Diego | |
dc.contributor.author | cocho-bermejo, ana | |
dc.date.accessioned | 2019-11-09T15:54:07Z | |
dc.date.available | 2019-11-09T15:54:07Z | |
dc.date.issued | 2019-08-13 | |
dc.identifier.citation | 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. | ca |
dc.identifier.issn | 2313-7673 | ca |
dc.identifier.uri | http://hdl.handle.net/20.500.12328/1296 | |
dc.description.abstract | 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. | ca |
dc.format.extent | 19 | ca |
dc.language.iso | eng | ca |
dc.publisher | Multidisciplinary Digital Publishing Institute | ca |
dc.relation.ispartof | Biomimetics | ca |
dc.relation.ispartofseries | 4;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.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject.other | Algoritmos computacionales | ca |
dc.subject.other | Arquitectura | ca |
dc.subject.other | Genètica--Tècnica | |
dc.subject.other | Algorismes computacionals | |
dc.subject.other | Algorithms--Data processing | |
dc.subject.other | Genetics | |
dc.subject.other | Genética | |
dc.subject.other | Genètica | |
dc.title | Evo-devo algorithms: gene-regulation for digital architecture | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.description.version | info:eu-repo/semantics/acceptedVersion | ca |
dc.embargo.terms | cap | ca |
dc.subject.udc | 72 | ca |
dc.identifier.doi | https://dx.doi.org/10.3390/biomimetics4030058 | ca |
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