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Taming the complexity of natural and artificial evolutionary dynamics

Poli, R and Stephens, CR (2014) 'Taming the complexity of natural and artificial evolutionary dynamics.' In: UNSPECIFIED, (ed.) Evolution, Complexity and Artificial Life. UNSPECIFIED, 19 - 39. ISBN 9783642375767

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Abstract

© Springer-Verlag Berlin Heidelberg 2014. 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.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 24 Aug 2015 15:31
Last Modified: 06 Feb 2019 06:15
URI: http://repository.essex.ac.uk/id/eprint/14599

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