Incorporating characteristics of human creativity into an evolutionary art algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Steve R. DiPaola and Liane Gabora",
  title =        "Incorporating characteristics of human creativity into
                 an evolutionary art algorithm",
  booktitle =    "Late breaking paper at Genetic and Evolutionary
                 Computation Conference {(GECCO'2007)}",
  year =         "2007",
  month =        "7-11 " # jul,
  editor =       "Peter A. N. Bosman",
  isbn13 =       "978-1-59593-698-1",
  pages =        "2450--2456",
  address =      "London, United Kingdom",
  keywords =     "genetic algorithms, genetic programming, creative
                 evolutionary systems, evolutionary art, mechanisms of
  URL =          "",
  DOI =          "doi:10.1145/1274000.1274009",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  abstract =     "A perceived limitation of evolutionary art and design
                 algorithms is that they rely on human intervention; the
                 artist selects the most aesthetically pleasing variants
                 of one generation to produce the next. This paper
                 discusses how computer generated art and design can
                 become more creatively human-like with respect to both
                 process and outcome. As an example of a step in this
                 direction, we present an algorithm that overcomes the
                 above limitation by employing an automatic fitness
                 function. The goal is to evolve abstract portraits of
                 Darwin, using our 2nd generation fitness function which
                 rewards genomes that not just produce a likeness of
                 Darwin but exhibit certain strategies characteristic of
                 human artists. We note that in human creativity, change
                 is less choosing amongst randomly generated variants
                 and more capitalizing on the associative structure of a
                 conceptual network to hone in on a vision. We discuss
                 how to achieve this fluidity algorithmically.",
  notes =        "Distributed on CD-ROM at GECCO-2007 ACM Order No.

Genetic Programming entries for Steve DiPaola Liane Gabora