A developmental model of neural computation using cartesian genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Gul Muhammad Khan and Julian F. Miller and 
                 David M. Halliday",
  title =        "A developmental model of neural computation using
                 cartesian genetic programming",
  booktitle =    "Late breaking paper at Genetic and Evolutionary
                 Computation Conference {(GECCO'2007)}",
  year =         "2007",
  month =        "7-11 " # jul,
  editor =       "Peter A. N. Bosman",
  isbn13 =       "978-1-59593-698-1",
  pages =        "2535--2542",
  address =      "London, United Kingdom",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, brain",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p2535.pdf",
  DOI =          "doi:10.1145/1274000.1274022",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  abstract =     "The brain has long been seen as a powerful analogy
                 from which novel computational techniques could be
                 devised. However, most artificial neural network
                 approaches have ignored the genetic basis of neural
                 functions. In this paper we describe a radically
                 different approach. We have devised a compartmental
                 model of a neuron as a collection of seven chromosomes
                 encoding distinct computational functions representing
                 aspects of real neurons. This model allows neurons,
                 dendrites, and axon branches to grow, die and change
                 while solving a computational problem. This also causes
                 the synaptic morphology to change and affect the
                 information processing. Since the appropriate
                 computational equivalent functions of neural
                 computation are unknown, we have used a form of genetic
                 programming known as Cartesian Genetic Programming
                 (CGP) to obtain these functions. We have evaluated the
                 learning potential of this system in the context of
                 solving a well known agent based learning scenario,
                 known as wumpus world and obtained promising results.",
  notes =        "Distributed on CD-ROM at GECCO-2007 ACM Order No.

Genetic Programming entries for Gul Muhammad Khan Julian F Miller David M Halliday