Open-ended artificial evolution

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@Article{Standish03a,
  author =       "Russell K. Standish",
  title =        "Open-ended artificial evolution",
  journal =      "International Journal of Computational Intelligence
                 and Applications",
  year =         "2003",
  volume =       "3",
  number =       "2",
  pages =        "167--175",
  keywords =     "genetic algorithms, genetic programming, Open-ended
                 evolution; complexity, Tierra, digital organisms,
                 neutral networks",
  ISSN =         "1469-0268",
  URL =          "http://arxiv.org/PS_cache/nlin/pdf/0210/0210027.pdf",
  URL =          "http://arxiv.org/abs/nlin/0210027",
  DOI =          "doi:10.1142/S1469026803000914",
  size =         "9 pages",
  abstract =     "Of all the issues discussed at Alife VII: Looking
                 Forward, Looking Backward, the issue of whether it was
                 possible to create an artificial life system that
                 exhibits open-ended evolution of novelty is by far the
                 biggest. Of the 14 open problems settled on as a result
                 of debate at the conference, some 6 are directly, or
                 indirectly related to this issue. Most people equate
                 open-ended evolution with complexity growth, although a
                 priori these seem to be different things. In this paper
                 I report on experiments to measure the complexity of
                 Tierran organisms, and show the results for a
                 size-neutral run of Tierra. In this run, no increase in
                 organismal complexity was observed, although organism
                 size did increase through the run. This result is
                 discussed, offering some signposts on path to solving
                 the issue of open ended evolution.",
  notes =        "IJCIA Copyright: Imperial College Press
                 arXiv:nlin.AO/0210027",
}

Genetic Programming entries for Russell K Standish

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