The CGP Developmental Network

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Gul Muhammad Khan and Julian F. Miller",
  title =        "The CGP Developmental Network",
  booktitle =    "Cartesian Genetic Programming",
  publisher =    "Springer",
  editor =       "Julian F. Miller",
  year =         "2011",
  series =       "Natural Computing Series",
  chapter =      "9",
  pages =        "255--291",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  isbn13 =       "978-3-642-17309-7",
  URL =          "",
  DOI =          "doi:10.1007/978-3-642-17310-3_9",
  abstract =     "In this chapter we will describe a developmental form
                 of Cartesian Genetic Programming (CGP) known as a CGP
                 Developmental Network (CGPDN). The CGPDN is a kind of
                 constructivist artificial neural network in which the
                 neuron is represented by seven evolved CGP programs.
                 These programs are each responsible for some
                 neuro-inspired aspect of the artificial neuron (i.e.
                 soma, dendrites, axons, synapses and neurite branches).
                 The network is usually initialised with a few neurons.
                 However, when the evolved programs are executed the
                 network can develop into a network of arbitrary
                 complexity while simultaneously solving a computational
                 problem. We have tested this model on two well known
                 problem in artificial intelligence: Wumpus World and
                 Checkers (Draughts). The role of CGP is to evolve
                 programs that encode the capability of learning, rather
                 than learnt information directly. All specific learnt
                 information is acquired post-evolution while solving
  notes =        "part of \cite{Miller:CGP}",

Genetic Programming entries for Gul Muhammad Khan Julian F Miller