Interaction-based Authoring for Scalable Co-creative Agents

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Reference

Mikhail Jacob and Brian Magerko: Interaction-based Authoring for Scalable Co-creative Agents. In: Computational Creativity 2015 ICCC 2015, 236-243.

DOI

Abstract

This article presents a novel approach to authoring cocreative systems - called interaction-based authoring - that combines ideas from case-based learning and imitative learning, while emphasizing its use in open-ended co-creative application domains. This work suggests an alternative to manually authoring knowledge for computationally creative agents that relies on user interaction “in the wild” as opposed to high-effort manual authoring beforehand. The Viewpoints AI installation is described as an instantiation of the interaction-based authoring approach. Finally, the interaction-based authoring approach is evaluated within the Viewpoints AI installation and the results are discussed guiding development and further evaluation in the future.

Extended Abstract

Bibtex

@inproceedings{
 author = {Jacob, Mikhail and Magerko, Brian},
 title = {Interaction-based Authoring for Scalable Co-creative Agents},
 booktitle = {Proceedings of the Sixth International Conference on Computational Creativity},
 series = {ICCC2015},
 year = {2015},
 month = {Jun},
 location = {Park City, Utah, USA},
 pages = {236-243},
 url = {http://computationalcreativity.net/iccc2015/proceedings/10_3Jacob.pdf http://de.evo-art.org/index.php?title=Interaction-based_Authoring_for_Scalable_Co-creative_Agents },
 publisher = {International Association for Computational Creativity},
 keywords = {computational, creativity},
}

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