Cognitive neuronal dynamics of aesthetics: Kawabata and Zeki's neuroscience on beauty in Paralleli Online publication date: Sun, 19-Jul-2009
by Check-Teck Foo, Say-Wei Foo, Sin-Yee Foo
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 1, No. 2/3/4, 2009
Abstract: Artificial Intelligence (AI) is now widely used across a wide variety of fields. Yet, there are so far very few reported in-depth experimental studies utilising artificial intelligence in modelling cognitively of how the brain or mind processes aesthetics. In this paper, we document our study of aesthetical judgements via Artificial Neural Network (ANN). A technology inspired from neuronal processes of the brain is here enabled through training to derive meanings from symbolic designs. The insights gained from our cognitive neurodynamic modelling of the processes are presented. To the best of our knowledge, ours is probably the first prototypical artificial judge of aesthetics ever created: one capable of assessing designs in a human-like fashion.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Artificial Intelligence and Soft Computing (IJAISC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com