Autonomously Creating Quality Images
Inhaltsverzeichnis
Reference
David Norton, Derrall Heath and Dan Ventura: Autonomously Creating Quality Images. In: Computational Creativity 2011 ICCC 2011, pp. 10-15.
DOI
Abstract
Creativity is an important part of human intelligence, and it is difficult to quantify (or even qualify) creativity in an in- telligent system. Recently it has been suggested that quality, novelty, and typicality are essential properties of a creative system. We describe and demonstrate a computational sys- tem (called DARCI) that is designed to eventually produce images in a creative manner. In this paper, we focus on qual- ity and show, through experimentation and statistical analy- sis, that DARCI is beginning to be able to produce images with quality comparable to those produced by humans.
Extended Abstract
Bibtex
@inproceedings{
author = {David Norton, Derrall Heath and Dan Ventura},
title = {Autonomously Creating Quality Images},
editor = {Dan Ventura, Pablo Gervás, D. Fox Harrell, Mary Lou Maher, Alison Pease and Geraint Wiggins},
booktitle = {Proceedings of the Second International Conference on Computational Creativity},
series = {ICCC2011},
year = {2011},
month = {April},
location = {México City, México},
pages = {10-15},
url = {http://iccc11.cua.uam.mx/proceedings/the_applied/norton_iccc11.pdf, http://de.evo-art.org/index.php?title=Autonomously_Creating_Quality_Images },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
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Links
Full Text
http://iccc11.cua.uam.mx/proceedings/the_applied/norton_iccc11.pdf
