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dc.contributor.authorFernández-Rodríguez, Jose David
dc.contributor.authorLobo Fernández, Daniel
dc.contributor.authorMartín Reyes, Gema María
dc.contributor.authorDoursat, René
dc.contributor.authorVico-Vela, Francisco Jose 
dc.date.accessioned2013-12-02T10:59:02Z
dc.date.available2013-12-02T10:59:02Z
dc.date.issued2012
dc.identifier.citationFernandez JD, Lobo D, Martin G, Doursat R & Vico FJ (2012) Emergent diversity in an open-ended evolving virtual community. Artificial Life, 18(2), pp. 199-222. (http://www.mitpressjournals.org/loi/artl)es_ES
dc.identifier.otherDOI:10.1162/artl_a_00059
dc.identifier.urihttp://hdl.handle.net/10630/6707
dc.description.abstractUnderstanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under traditional modeling approaches based on differential calculus requires speciesʼ characteristics to be predefined, which limits the generality of the results. An alternative but less standardized methodology relies on intensive computer simulation of evolving communities made of simple, explicitly described individuals. We study here the formation, evolution, and diversity dynamics of a community of virtual plants with a novel individual-centered model involving three different scales: the genetic, the developmental, and the physiological scales. It constitutes an original attempt at combining development, evolution, and population dynamics (based on multi-agent interactions) into one comprehensive, yet simple model. In this world, we observe that our simulated plants evolve increasingly elaborate canopies, which are capable of intercepting ever greater amounts of light. Generated morphologies vary from the simplest one-branch structure of promoter plants to a complex arborization of several hundred thousand branches in highly evolved variants. On the population scale, the heterogeneous spatial structuration of the plant community at each generation depends solely on the evolution of its component plants. Using this virtual data, the morphologies and the dynamics of diversity production were analyzed by various statistical methods, based on genotypic and phenotypic distance metrics. The results demonstrate that diversity can spontaneously emerge in a community of mutually interacting individuals under the influence of specific environmental conditions.es_ES
dc.description.sponsorshipThis research was partially supported by a grant for the GENEX project (P09-TIC-5123) from the Consejería de Innovación y Ciencia de Andalucía. J.D.F. was supported by a FPU grant from the Spanish Ministerio de Educación. R.D. wishes to thank the Région Ile-de-France for supporting his research position at the Complex Systems Institute, Paris Ile-de-France.es_ES
dc.language.isospaes_ES
dc.publisherMIT Presses_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBiología computacionales_ES
dc.subject.otherL-systemses_ES
dc.subject.otherArtificial lifees_ES
dc.subject.otherEvo-devo-ecoes_ES
dc.subject.otherArtificial ecologyes_ES
dc.subject.otherEvolutionary dynamicses_ES
dc.titleEmergent diversity in an open-ended evolving virtual communityes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES


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