Appraisal, Coping and High Level Emotions Aspects of Computational Emotional Thinking

Max Talanov and Alexander Toschev
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Max Talanov: Higher Institute of Information Technologies and Information Systems, Kazan Federal University, Kazan, Russia
Alexander Toschev: Higher Institute of Information Technologies and Information Systems, Kazan Federal University, Kazan, Russia

International Journal of Synthetic Emotions (IJSE), 2015, vol. 6, issue 1, 24-39

Abstract: Turing genius anticipated current research in AI field for 65 years and stated that idea of intelligent machines “cannot be wholly ignored, because the idea of 'intelligence' is itself emotional rather than mathematical” (). This is the second article dedicated to emotional thinking bases. In the first article, the authors () created overall picture and proposed framework for computational emotional thinking. They used 3 bases for their work: AI - six thinking levels model described in book “The emotion machine” (). Evolutionary psychology model: “Wheel of emotions” (). Neuroscience (neurotransmission) theory of emotions by Lovheim “Cube of emotions” (). Based on neurotransmitters impact the authors proposed to model emotional computing systems. Current work is dedicated to three aspects left not described in first article: appraisal: algorithm and predicates - how inbound stimulus is estimated to trigger proper emotional response, coping: the way human treat with emotional state triggered by stimulus appraisal and further thinking processes, high level emotions impact on system and its computational processes.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jse000:v:6:y:2015:i:1:p:24-39

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