Cultural Transmission of Information in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{spector:1996:ctiGP,
  author =       "Lee Spector and Sean Luke",
  title =        "Cultural Transmission of Information in Genetic
                 Programming",
  booktitle =    "Genetic Programming 1996: Proceedings of the First
                 Annual Conference",
  editor =       "John R. Koza and David E. Goldberg and 
                 David B. Fogel and Rick L. Riolo",
  year =         "1996",
  month =        "28--31 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "209--214",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  URL =          "http://www.cs.gmu.edu/~sean/papers/culture-gp96.pdf",
  URL =          "http://www.cs.gmu.edu/~sean/papers/culture-gp96.ps.gz",
  URL =          "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap25.pdf",
  URL =          "http://cognet.mit.edu/library/books/view?isbn=0262611279",
  size =         "9 pages",
  abstract =     "This paper shows how the performance of a genetic
                 programming system can be improved through the addition
                 of mechanisms for non-genetic transmission of
                 information between individuals (culture). Teller has
                 previously shown how genetic programming systems can be
                 enhanced through the addition of memory mechanisms for
                 individual programs [Teller 1994]; in this paper we
                 show how Teller's memory mechanism can be changed to
                 allow for communication between individuals within and
                 across generations. We show the effects of indexed
                 memory and culture on the performance of a genetic
                 programming system on a symbolic regression problem, on
                 Koza's Lawnmower problem, and on Wumpus world agent
                 problems. We show that culture can reduce the
                 computational effort required to solve all of these
                 problems. We conclude with a discussion of possible
                 improvements.",
  notes =        "GP-96 Discussion of this paper appeared as part of the
                 Scientific American (Oct. 96) column {"}Computing:
                 Programming with Primordial Ooze{"} (p. 50).",
}

Genetic Programming entries for Lee Spector Sean Luke

Citations