Evolutionary Development based on Genetic Regulatory Models for Behavior-Finding

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dc.centroE.T.S.I. Informáticaes_ES
dc.contributor.advisorVico-Vela, Francisco José
dc.contributor.authorLobo Fernández, Daniel
dc.date.accessioned2014-01-14T08:31:12Z
dc.date.available2014-04-13T04:00:03Z
dc.date.issued2014
dc.departamentoLenguajes y Ciencias de la Computación
dc.description.abstractThis thesis investigates the role, implications, and applications of a genetic-regulated developmental process in evolution. A novel formalism of string-regulated graph grammar, as an abstraction of biological development, is presented and studied. Founded on this formalism, evolutionary developmental models are introduced and tested. The results demonstrate the benefits of the models, compared to traditional direct encoding approaches, for the problems of form-finding and behavior-finding.es_ES
dc.identifier.urihttp://hdl.handle.net/10630/6863
dc.language.isoenges_ES
dc.publisherUniversidad de Málaga, Servicio de Publicacioneses_ES
dc.rights.accessRightsopen access
dc.subjectComputación evolutiva - Tesis doctoraleses_ES
dc.subject.otherEvolutionary computationes_ES
dc.subject.otherBehavior-findinges_ES
dc.subject.otherGraph grammares_ES
dc.subject.otherArtificial developmentes_ES
dc.subject.otherArtificial regulatory networkes_ES
dc.titleEvolutionary Development based on Genetic Regulatory Models for Behavior-Findinges_ES
dc.typedoctoral thesises_ES
dspace.entity.typePublication
relation.isAdvisorOfPublicatione18ce0de-94d7-45cf-bfb5-17245e221daa
relation.isAdvisorOfPublication.latestForDiscoverye18ce0de-94d7-45cf-bfb5-17245e221daa

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