Taming the Complexity of Natural and Artificial Evolutionary Dynamics
Created by W.Langdon from
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- @InCollection{Poli:2014:evcoal,
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author = "Riccardo Poli and Christopher R. Stephens",
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title = "Taming the Complexity of Natural and Artificial
Evolutionary Dynamics",
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booktitle = "Evolution, Complexity and Artificial Life",
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publisher = "Springer",
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year = "2014",
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editor = "Stefano Cagnoni and Marco Mirolli and Marco Villani",
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pages = "19--39",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-37576-7",
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URL = "http://dx.doi.org/10.1007/978-3-642-37577-4_2",
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DOI = "doi:10.1007/978-3-642-37577-4_2",
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abstract = "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.",
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language = "English",
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notes = "a selection of the best papers presented at WIVACE
2012, Parma, Italy, thoroughly revised and extended by
the authors",
- }
Genetic Programming entries for
Riccardo Poli
Christopher R Stephens
Citations