Title: Cognitive neuronal dynamics of aesthetics: Kawabata and Zeki's neuroscience on beauty in Paralleli

Authors: Check-Teck Foo, Say-Wei Foo, Sin-Yee Foo

Addresses: School of Mechanical and Aerospace Engineering and School of Electronics and Electrical Engineering, College of Engineering, Nanyang Technological University, 639798, Singapore. ' School of Mechanical and Aerospace Engineering and School of Electronics and Electrical Engineering, College of Engineering, Nanyang Technological University, 639798, Singapore. ' School of Mechanical and Aerospace Engineering and School of Electronics and Electrical Engineering, College of Engineering, Nanyang Technological University, 639798, Singapore

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.

Keywords: AI; artificial intelligence; logos; aesthetics; machine perception; aerospace; artificial judge; cognitive neuronal dynamics; neuroscience; beauty; modelling; artificial neural networks; ANNs; symbolic designs; cognitive neurodynamics; aesthetic judgements.

DOI: 10.1504/IJAISC.2009.027300

International Journal of Artificial Intelligence and Soft Computing, 2009 Vol.1 No.2/3/4, pp.352 - 362

Published online: 19 Jul 2009 *

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