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dc.contributor.advisorVico-Vela, Francisco José 
dc.contributor.authorMartín Reyes, Gema María
dc.contributor.otherLenguajes y Ciencias de la Computaciónes_ES
dc.date.accessioned2014-02-24T10:42:21Z
dc.date.available2014-02-24T10:42:21Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10630/7261
dc.description.abstractIn this thesis, a formal framework where the evolution of biological complexity can be studied in an objective way is defined. That objectivity is due to state complexity for regular languages is used and it is a well-known and rigorous complexity measure. Such a framework is composed of a population of cyclic unary regular languages (individuals) that try to adapt to a given environment (that also consists of cyclic unary regular languages) by means of evolutionary computation.es_ES
dc.language.isospaes_ES
dc.publisherUniversidad de Málaga, Servicio de Publicaciones y Divulgacion Cientificaes_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectProceso en lenguaje natural (Informática) - Tesis doctoraleses_ES
dc.subject.otherArtificial lifees_ES
dc.subject.otherFinite state automataes_ES
dc.subject.otherPrimitive wordses_ES
dc.subject.otherArtificial ecologyes_ES
dc.subject.otherEvolutionary dynamicses_ES
dc.subject.otherTesis Doctorales_ES
dc.titleEvolving Complexity and Similarity in an Artificial Life Framework based on Formal Language Theoryes_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.centroE.T.S.I. Informáticaes_ES


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