How Did Humans Become So Creative? A Computational Approach

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

@InProceedings{DBLP:journals/corr/GaboraD13,
  author =       "Liane Gabora and Steve DiPaola",
  title =        "How Did Humans Become So Creative? A Computational
                 Approach",
  booktitle =    "Proceedings of the International Conference on
                 Computational Creativity",
  year =         "2012",
  editor =       "Mary Lou Maher",
  pages =        "203--210",
  address =      "Dublin, Ireland",
  month =        may # " 31 - " # jun # " 1",
  keywords =     "genetic algorithms, genetic programming, EVOC, ANN,
                 Agent, ALife, chaining, artificial society, HSV color
                 space, 80/20, portraits, images",
  URL =          "http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/203-Gabora.pdf",
  URL =          "http://arxiv.org/ftp/arxiv/papers/1308/1308.5032.pdf",
  URL =          "http://arxiv.org/abs/1308.5032",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  size =         "8 pages",
  abstract =     "This paper summarises efforts to computationally model
                 two transitions in the evolution of human creativity:
                 its origins about two million years ago, and the big
                 bang of creativity about 50,000 years ago. Using a
                 computational model of cultural evolution in which
                 neural network based agents evolve ideas for actions
                 through invention and imitation, we tested the
                 hypothesis that human creativity began with onset of
                 the capacity for recursive recall. We compared runs in
                 which agents were limited to single-step actions to
                 runs in which they used recursive recall to chain
                 simple actions into complex ones. Chaining resulted in
                 higher diversity, open-ended novelty, no ceiling on the
                 mean fitness of actions, and greater ability to make
                 use of learning. Using a computational model of
                 portrait painting, we tested the hypothesis that the
                 explosion of creativity in the Middle/Upper Paleolithic
                 was due to onset of contextual focus: the capacity to
                 shift between associative and analytic thought. This
                 resulted in faster convergence on portraits that
                 resembled the sitter, employed painterly techniques,
                 and were rated as preferable. We conclude that
                 recursive recall and contextual focus provide a
                 computationally plausible explanation of how humans
                 evolved the means to transform this planet",
  notes =        "TenderPixel Gallery in London, Emily Carr Galley in
                 Vancouver, and Kings Art Centre at Cambridge University
                 as well as the MIT Museum, and the High Museum in
                 Atlanta. Images used in
                 \cite{Padian:2008:nature}.

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}

Genetic Programming entries for Liane Gabora Steve DiPaola

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