The Evolutionary Emergence route to Artificial Intelligence

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@MastersThesis{Channon:masters,
  author =       "Alastair D. Channon",
  title =        "The Evolutionary Emergence route to Artificial
                 Intelligence",
  school =       "School of Cognitive and Computing Sciences, University
                 of Sussex",
  year =         "1996",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Intelligence, Emergence, Artificial Life, Neural
                 Networks, Development, Modularity, Fractals,
                 Lindenmayer Systems, Recurrence",
  URL =          "http://www.channon.net/alastair/msc/adc_msc.pdf",
  size =         "30 pages",
  abstract =     "The artificial evolution of intelligence is discussed
                 with respect to current methods. An argument for
                 withdrawal of the traditional fitness function in
                 genetic algorithms is given on the grounds that this
                 would better enable the emergence of intelligence,
                 necessary because we cannot specify what intelligence
                 is. A modular developmental system is constructed to
                 aid the evolution of neural structures and a simple
                 virtual world with many of the properties believed
                 beneficial is set up to test these ideas. Resulting
                 emergent properties are given, along with a brief
                 discussion.",
}

Genetic Programming entries for Alastair D Channon

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