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          <dc:title>Computational Artistic Creativity and its Evaluation</dc:title>
          <dc:creator>Brown, David</dc:creator>
          <dc:subject>Evaluation</dc:subject>
          <dc:subject>design creativity</dc:subject>
          <dc:subject>artistic creativity</dc:subject>
          <dc:subject>novelty</dc:subject>
          <dc:subject>resolution</dc:subject>
          <dc:subject>style</dc:subject>
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          <dc:description>For artistic creativity, in comparison to design creativity, requirements may not exist, and constraints on the artifact (the artistic “product”) are usually looser or absent. Many computational creativity systems produce artistic artifacts, but such results can be judged in a variety of ways: by a variety of artistic standards or by the perceiver’s "taste", for example. &#13;
There is less chance of a generated artifact being judged in a single, clear and concrete fashion, so the standards may be softer and perhaps easier to satisfy: certainly harder to make computational. With regard to taste, Boden (1994) quotes, "I don’t know anything about art, but I know what I like”. If this were true in general, then there would be as many tests of the creativity of an artifact as there are people!</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>David Brown</dc:contributor>
          <dc:date>2009</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 9291, Computational Creativity: An Interdisciplinary Approach (2009)</dc:relation>
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