Evolving Complexity and Similarity in an Artificial Life Framework based on Formal Language Theory
| dc.centro | E.T.S.I. Informática | es_ES |
| dc.contributor.advisor | Vico-Vela, Francisco José | |
| dc.contributor.author | Martín Reyes, Gema María | |
| dc.date.accessioned | 2014-02-24T10:42:21Z | |
| dc.date.available | 2014-02-24T10:42:21Z | |
| dc.date.issued | 2013 | |
| dc.departamento | Lenguajes y Ciencias de la Computación | |
| dc.description.abstract | In 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.identifier.uri | http://hdl.handle.net/10630/7261 | |
| dc.language.iso | spa | es_ES |
| dc.publisher | Universidad de Málaga, Servicio de Publicaciones y Divulgacion Cientifica | es_ES |
| dc.rights.accessRights | open access | |
| dc.subject | Proceso en lenguaje natural (Informática) - Tesis doctorales | es_ES |
| dc.subject.other | Artificial life | es_ES |
| dc.subject.other | Finite state automata | es_ES |
| dc.subject.other | Primitive words | es_ES |
| dc.subject.other | Artificial ecology | es_ES |
| dc.subject.other | Evolutionary dynamics | es_ES |
| dc.subject.other | Tesis Doctoral | es_ES |
| dc.title | Evolving Complexity and Similarity in an Artificial Life Framework based on Formal Language Theory | es_ES |
| dc.type | doctoral thesis | es_ES |
| dspace.entity.type | Publication | |
| relation.isAdvisorOfPublication | e18ce0de-94d7-45cf-bfb5-17245e221daa | |
| relation.isAdvisorOfPublication.latestForDiscovery | e18ce0de-94d7-45cf-bfb5-17245e221daa |
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