Partially interactive evolutionary artists
Inhaltsverzeichnis
Reference
Machado, P., Romero, J., Cardoso, A., Santos, A.: Partially interactive evolutionary artists. New Generation Computing – Special Issue on Interactive Evolutionary Computation 23(42), 143–155 (2005).
DOI
http://link.springer.com/article/10.1007%2FBF03037491
Abstract
User fatigue is probably the most pressing problem in current Interactive Evolutionary Computation systems. To address it we propose the use of automatic seeding procedure, phenotype filters, and partial automation fitness assignment. We test this approaches in the visual arts domain. To further enhance interactive evolution applications in aesthetic domains, we propose the use of artificial art critics—systems that perform stylistic and aesthetic valuations of art—presenting experimental results.
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://eden.dei.uc.pt/~amilcar/ftp/ecaspapers/NGC2005.pdf