Taming the Complexity of Natural and Artificial Evolutionary Dynamics

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  author =       "Riccardo Poli and Christopher R. Stephens",
  title =        "Taming the Complexity of Natural and Artificial
                 Evolutionary Dynamics",
  booktitle =    "Evolution, Complexity and Artificial Life",
  publisher =    "Springer",
  year =         "2014",
  editor =       "Stefano Cagnoni and Marco Mirolli and Marco Villani",
  pages =        "19--39",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-37576-7",
  URL =          "http://dx.doi.org/10.1007/978-3-642-37577-4_2",
  DOI =          "doi:10.1007/978-3-642-37577-4_2",
  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.",
  language =     "English",
  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