Autonomously Communicating Conceptual Knowledge Through Visual Art

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Derrall Heath, David Norton and Dan Ventura: Autonomously Communicating Conceptual Knowledge Through Visual Art. In: Computational Creativity 2013 ICCC 2013, 97-104.



In visual art, the communication of meaning or intent is an important part of eliciting an aesthetic experience in the viewer. Building on previous work, we present three ad- ditions to DARCI that enhances its ability to communicate concepts through the images it creates. The first addition is a model of semantic memory based on word associations for providing meaning to concepts. The second addition com- poses universal icons into a single image and renders the im- age to match an associated adjective. The third addition is a similarity metric that maintains recognizability while allow- ing for the introduction of artistic elements. We use an online survey to show that the system is successful at creating im- ages that communicate concepts to human viewers.

Extended Abstract


author = {Derrall Heath, David Norton and Dan Ventura},
title = {Autonomously Communicating Conceptual Knowledge Through Visual Art},
editor = {Simon Colton, Dan Ventura, Nada Lavrac, Michael Cook},
booktitle = {Proceedings of the Fourth International Conference on Computational Creativity},
series = {ICCC2013},
year = {2013},
month = {Jun},
location = {Sydney, New South Wales, Australia},
pages = {97-104},
url = {, },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},

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