Biology: See It Again -- for the First Time

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Sean Luke and Shugo Hamahashi and Koji Kyoda and 
                 Hiroki Ueda",
  title =        "Biology: See It Again -- for the First Time",
  journal =      "IEEE Intelligent Systems",
  year =         "1998",
  volume =       "13",
  number =       "5",
  month =        sep # "/" # oct,
  keywords =     "genetic algorithms, genetic programming, biological
                 modelling, DNA",
  URL =          "",
  URL =          "",
  abstract =     "Computer science owes a huge debt to biological
                 systems. The field itself came about largely as an
                 attempt to understand and replicate the function and
                 abilities of the brain, a complex biological creation.
                 From this early lineage has sprung many subfields
                 derived largely from biological metaphors: computer
                 vision, neural networks, evolutionary computation,
                 robotics, multi-agent studies, and much of artificial
                 intelligence. In some areas, the computer has bested
                 its biological counterparts in efficiency and
                 simplicity. But for many domains, even after decades of
                 hard work, the biological {"}real thing{"} is still
                 superior to the artificial algorithms inspired by it.",
  size =         "3 pages",
  notes =        "Invited Article. Argues for a revisitation of the
                 biological roots behind artificial intelligence and
                 evolutionary computation",

Genetic Programming entries for Sean Luke Shugo Hamahashi Koji Kyoda Hiroki Ueda