Autonomously Managing Competing Objectives to Improve the Creation and Curation of Artifacts
Inhaltsverzeichnis
Reference
David Norton, Derrall Heath and Dan Ventura: Autonomously Managing Competing Objectives to Improve the Creation and Curation of Artifacts. In: Computational Creativity 2014 ICCC 2014, 23-32.
DOI
Abstract
DARCI (Digital ARtist Communicating Intention) is a cre- ative system that we are developing to explore the bounds of computational creativity within the domain of visual art. As with many creative systems, as we increase the auton- omy of DARCI, the quality of the artifacts it creates and then curates decreases—a phenomenon Colton and Wiggins have termed the latent heat effect. We present two new metrics that DARCI uses to evolve and curate renderings of images that convey target adjectives without completely obfuscating the original image. We show how we balance the two met- rics and then explore various ways of combining them to au- tonomously yield images that arguably succeed at this task.
Extended Abstract
Bibtex
@inproceedings{
author = {David Norton, Derrall Heath and Dan Ventura},
title = {Autonomously Managing Competing Objectives to Improve the Creation and Curation of Artifacts},
booktitle = {Proceedings of the Fifth International Conference on Computational Creativity},
series = {ICCC2014},
year = {2014},
month = {Jun},
location = {Ljubljana, Slovenia},
pages = {23-32},
url = {http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//2.1_Norton.pdf, http://de.evo-art.org/index.php?title=Autonomously_Managing_Competing_Objectives_to_Improve_the_Creation_and_Curation_of_Artifacts },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
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