Evolution of Simple Intelligence Distribution in Artificial Organisms

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

@InCollection{dhingra:2002:ESIDAO,
  author =       "Philip Dhingra",
  title =        "Evolution of Simple Intelligence Distribution in
                 Artificial Organisms",
  booktitle =    "Genetic Algorithms and Genetic Programming at Stanford
                 2002",
  year =         "2002",
  editor =       "John R. Koza",
  pages =        "83--92",
  address =      "Stanford, California, 94305-3079 USA",
  month =        jun,
  publisher =    "Stanford Bookstore",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.org/sp2002/Dhingra.pdf",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.1093",
  language =     "en",
  oai =          "oai:CiteSeerXPSU:10.1.1.141.1093",
  abstract =     "This paper uses Genetic Programming to evolve groups
                 of ants to push a box from the center of a room to a
                 wall. Group sizes and ant capabilities are varied to
                 observe the speed, effectiveness, and nature of the
                 intelligence that evolves for each ant. As expected,
                 larger groups compensate for lesser intelligent ants by
                 having more of them to solve the task. The
                 ant-boxpushing problem then becomes a coverage problem
                 whereby solutions are found by adequately covering the
                 space in which the task is to be completed.",
  notes =        "part of \cite{koza:2002:gagp} GP to evolve group of
                 ants to push a box from the centre of a room to a wall.
                 Trade off between {"}intelligence{"} of individual ants
                 and number of ants in the group. LISP",
}

Genetic Programming entries for Philip Dhingra

Citations