RT Dissertation/Thesis
T1 Evolving Complexity and Similarity in an Artificial Life Framework based on Formal Language Theory
A1 Martín Reyes, Gema María
K1 Proceso en lenguaje natural (Informática) - Tesis doctorales
AB 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.
PB Universidad de Málaga, Servicio de Publicaciones y Divulgacion Cientifica
YR 2013
FD 2013
LK http://hdl.handle.net/10630/7261
UL http://hdl.handle.net/10630/7261
LA spa
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026