Unplugging Evolutionary Algorithms: an experiment on human-algorithmic creativity

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "F. {Fernandez de Vega} and C. Cruz and L. Navarro and 
                 P. Hernandez and T. Gallego and L. Espada",
  title =        "Unplugging Evolutionary Algorithms: an experiment on
                 human-algorithmic creativity",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2014",
  volume =       "15",
  number =       "4",
  pages =        "379--402",
  month =        dec,
  note =         "Special issue on GECCO competitions",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 art, Computational creativity, Interactive Evolutionary
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-014-9225-1",
  size =         "24 pages",
  abstract =     "Understanding and emulating human creativity is a key
                 factor when developing computer based algorithms
                 devoted to art. This paper presents a new evolutionary
                 approach to art and creativity aimed at comprehending
                 human principles and motivations, behaviours and
                 procedures from an evolutionary point of view. The
                 results, and the collective artwork described, is the
                 product of a new methodology derived from the
                 Interactive Evolutionary Algorithm (IEA), that allowed
                 a team of artists to collaborate following evolutionary
                 procedures in a number of generations while providing
                 interesting information from the creative process
                 developed. Instead of relegating artists to merely
                 evaluating the output of a standard IEA, we provided
                 them with the fundamentals, operators and ideas
                 extracted from IEAs, and asked them to apply those
                 principles while creating a collective artwork. Artists
                 thus focused on their inner creative process with an
                 evolutionary perspective, providing insights that
                 hopefully will allow us to improve future versions of
                 EAs when devoted to art. This paper describes the
                 methodology behind the work and the experiment
                 performed, and analyses the collective work generated,
                 that eventually became GECCO 2013 Art Design and
                 Creativity Competition award-winning artwork in
  notes =        "

                 1. Centro Universitario de Merida, University of
                 Extremadura, Merida, Badajoz, Spain 2. Escuela de Arte,
                 Merida, Badajoz, Spain 3. Facultad de Bellas Artes,
                 Universidad de Sevilla, Seville, Spain 4. IES Tierra de
                 Barros, Aceuchal, Spain",

Genetic Programming entries for Francisco Fernandez de Vega Cayetano Jose Cruz Garcia L Navarro Patricia Hernandez Rondan T Gallego Luis Espada Iglesias