Genetic programming: Biologically inspired computation that exhibits creativity in solving non-trivial problems

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

@InProceedings{bennett:1999:AISB,
  author =       "Forrest H {Bennett III} and John R. Koza and 
                 Martin A. Keane and David Andre",
  title =        "Genetic programming: Biologically inspired computation
                 that exhibits creativity in solving non-trivial
                 problems",
  booktitle =    "Proceedings of the AISB'99 Symposium on Scientific
                 Creativity",
  year =         "1999",
  pages =        "29--38",
  address =      "Edingburgh",
  month =        "8-9 " # apr,
  organisation = "The Society for the Study of Artificial Intelligence
                 and Simulation of Behaviour",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/aisb1999.pdf",
  abstract =     "This paper describes a biologically inspired
                 domain-independent technique, called genetic
                 programming, that automatically creates computer
                 programs to solve problems. We argue that the field of
                 design is a useful testbed for determining whether an
                 automated technique can produce results that are
                 competitive with human-produced results. We present
                 several results that are competitive with the products
                 of human creativity and inventiveness. This claim is
                 supported by the fact that each of the results infringe
                 on previously issued patents. This paper presents a
                 candidate set of criteria that identify when a
                 machine-created solution to a problem is competitive
                 with a human-produced result.",
  notes =        "AISB-99",
}

Genetic Programming entries for Forrest Bennett John Koza Martin A Keane David Andre

Citations