Evolving Portrait Painter Programs using Genetic Programming to Explore Computer Creativity

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{DiPaola:2006:,
  author =       "Steve DiPaola",
  title =        "Evolving Portrait Painter Programs using Genetic
                 Programming to Explore Computer Creativity",
  booktitle =    "Proceedings of iDMAa Conference (International Digital
                 Media and Arts Association",
  year =         "2006",
  editor =       "Glenn Platt and Peg Faimon",
  address =      "Miami University, Oxford, OH",
  month =        apr # " 6-8",
  organisation = "International Digital Media and Arts Association",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  URL =          "http://www.units.miamioh.edu/codeconference/schedule/presentations.htm",
  URL =          "http://www.units.muohio.edu/codeconference/papers/papers/idmapaper1.pdf",
  size =         "7 pages",
  abstract =     "Creative systems as opposed to standard evolutionary
                 systems favor exploration over optimization, finding
                 innovative or novel solutions over a preconceived
                 notion of a specific optimal solution. The best
                 creative evolutionary systems only provide tools,
                 allowing the evolutionary process to discover novelty
                 and innovation on its own. We experiment with computer
                 creativity by employing and modifying techniques from
                 evolutionary computation to create a related family of
                 abstract portraits. A new type of Genetic Programming
                 (GP) system is used called Cartesian GP, which uses
                 typical GP Darwinian evolutionary techniques
                 (crossover, mutation, and survival), but has several
                 features that allow the GP system to favor creative
                 solutions over optimized solutions including
                 accommodating for genetic drift where different
                 genotypes map to the same phenotype, visual mapping
                 modules and a knowledge of a painterly color space.
                 This work with its specific goal of evolving portrait
                 painter programs to create a portrait 'sparked' by the
                 famous portrait of Darwin, speaks to the evolutionary
                 processes as well as creativity, as seen by the early
                 results where the evolving programs use recurring,
                 emergent and merged creative strategies to become good
                 abstract portraitists.",
  notes =        "iDMAa, Journal of the International Digital Media and
                 Arts Association, volume 3 published by lulu.com????",
}

Genetic Programming entries for Steve DiPaola

Citations