Assessing Progress in Building Autonomously Creative Systems
Inhaltsverzeichnis
Reference
Simon Colton, Alison Pease, Joe Corneli, Michael Cook and Maria Teresa Llano: Assessing Progress in Building Autonomously Creative Systems. In: Computational Creativity 2014 ICCC 2014, 137-145.
DOI
Abstract
Determining conclusively whether a new version of software creatively exceeds a previous version or a third party sys- tem is difficult, yet very important for scientific approaches in Computational Creativity research. We argue that software product and process need to be assessed simultaneously in assessing progress, and we introduce a diagrammatic formal- ism which exposes various timelines of creative acts in the construction and execution of successive versions of artefact- generating software. The formalism enables estimations of progress or regress from system to system by comparing their diagrams and assessing changes in quality, quantity and va- riety of creative acts undertaken; audience perception of be- haviours; and the quality of artefacts produced. We present a case study in the building of evolutionary art systems, and we use the formalism to highlight various issues in measuring progress in the building of creative systems.
Extended Abstract
Bibtex
@inproceedings{
author = {Simon Colton, Alison Pease, Joe Corneli, Michael Cook and Maria Teresa Llano},
title = {Assessing Progress in Building Autonomously Creative Systems},
booktitle = {Proceedings of the Fifth International Conference on Computational Creativity},
series = {ICCC2014},
year = {2014},
month = {Jun},
location = {Ljubljana, Slovenia},
pages = {137-145},
url = {http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//8.4_Colton.pdf, http://de.evo-art.org/index.php?title=Assessing_Progress_in_Building_Autonomously_Creative_Systems },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
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