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Título del libro: Evolution, Complexity And Artificial Life
Título del capítulo: Taming the complexity of natural and artificial evolutionary dynamics

Autores UNAM:
CHRISTOPHER RHODES STEPHENS;
Autores externos:

Idioma:
Inglés
Año de publicación:
2014
Palabras clave:

Artificial intelligence; Genetic engineering; Coarse Graining; Collective variables; Complex adaptive systems; Conceptual levels; Emergent behaviours; Evolutionary dynamics; Macroscopic phenomena; Statistical physics; Dynamics


Resumen:

The study of complex adaptive systems is among the key modern tasks in science. Such systems show radically different behaviours at different scales and in different environments, and mathematical modelling of such emergent behaviour is very difficult, even at the conceptual level. We require a new methodology to study and understand complex, emergent macroscopic phenomena. Coarse graining, a technique that originated in statistical physics, involves taking a system with many microscopic degrees of freedom and finding an appropriate subset of collective variables that offer a compact, computationally feasible description of the system, in terms of which the dynamics looks ?natural?. This paper presents the key ideas of the approach and shows how it can be applied to evolutionary dynamics. © Springer-Verlag Berlin Heidelberg 2014.


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