Home // COGNITIVE 2017, The Ninth International Conference on Advanced Cognitive Technologies and Applications // View article
Authors:
Olga Chernavskaya
Yaroslav Rozhylo
Keywords: emotions;neuroprocessor; noise; paradox; ambiguity; weak connections.
Abstract:
The problem of interpretation and simulation of the Aesthetic Emotions (not inspired by a pragmatic goal, but by impression of Artwork, natural phenomena, etc.) is considered under the Natural-Constructive Approach to modeling the cognitive process. The designed cognitive architecture is represented by the complex multilevel combination of various-type neuroprocessors, with the whole system being composed of two subsystems, by analogy with two hemispheres of human brain. Only one subsystem involves mandatory random component (noise), and the noise-amplitude variation controls the subsystem activity representing the emotional responses. A peculiar feature of the architecture is the fuzzy set at the lowest (“image”) hierarchy level. This neuroprocessor contains images of the objects recorded by weak (“grey”) connections that reflect personal (unformulated) experience. It is shown that individual aesthetic preferences arise at the border of image (fuzzy set) and symbolic internal information. The concept of Chef-d’oeuvre is associated with the “paradox of recognition”, which is caused by ambiguous impression (familiar and unusual simultaneously) induced by the Artwork. These impressions could be accompanied by small oscillation (trembling) of the noise amplitude around normal value that represents an analogue to the human “goosebumps”.
Pages: 24 to 31
Copyright: Copyright (c) IARIA, 2017
Publication date: February 19, 2017
Published in: conference
ISSN: 2308-4197
ISBN: 978-1-61208-531-9
Location: Athens, Greece
Dates: from February 19, 2017 to February 23, 2017