Using a Contextual Focus Model for an Automatic Creativity Algorithm to Generate Art Work
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{DiPaola:2014:PCS,
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author = "Steve DiPaola",
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title = "Using a Contextual Focus Model for an Automatic
Creativity Algorithm to Generate Art Work",
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journal = "Procedia Computer Science",
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volume = "41",
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pages = "212--219",
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year = "2014",
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note = "5th Annual International Conference on Biologically
Inspired Cognitive Architectures, 2014 BICA",
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keywords = "genetic algorithms, genetic programming, Evolutionary
Systems, Contextual Focus, Creativity, Computational
Modelling",
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ISSN = "1877-0509",
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DOI = "doi:10.1016/j.procs.2014.11.105",
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URL = "http://www.sciencedirect.com/science/article/pii/S1877050914015506",
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abstract = "We sought to implement and determine whether
incorporating cognitive based contextual focus into a
genetic programming fitness function would play a
crucial role in enabling the computer system to
generate art that humans find creative (i.e. possessing
qualities of novelty and aesthetic value typically
ascribed to the output of a creative artistic process).
We implemented contextual focus in the evolutionary art
algorithm by giving the program the capacity to vary
its level of fluidity and functional triggered dynamic
control over different phases of the creative process.
The domain of portrait painting was chosen because it
requires both focused attention (analytical thought) to
accomplish the primary goal of creating portrait sitter
resemblance as well as defocused attention (associative
thought) to creativity deviate from resemblance i.e.,
to meet the broad and often conflicting criteria of
aesthetic art. Since judging creative art is
subjective, rather than use quantitative analysis, a
representative subset of the automatically produced
art-work from this system was selected and submitted to
many peer reviewed and commissioned art shows, thereby
allowing it to be judged positively or negatively as
creative by human art curators, reviewers and the art
gallery going public.",
- }
Genetic Programming entries for
Steve DiPaola
Citations