2026-05-27T12:55:31Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/72612026-02-03T12:35:31Zcom_10630_2254col_10630_37957

Evolving Complexity and Similarity in an Artificial Life Framework based on Formal Language Theory Martín Reyes, Gema María Vico-Vela, Francisco José Proceso en lenguaje natural (Informática) - Tesis doctorales 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. 2014-02-24T10:42:21Z 2014-02-24T10:42:21Z 2014-02-24T10:42:21Z 2013 doctoral thesis http://hdl.handle.net/10630/7261 spa open access Universidad de Málaga, Servicio de Publicaciones y Divulgacion Cientifica