计算性情绪思维的评价、应对和高水平情绪方面

M. Talanov, Alexander S. Toschev
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引用次数: 4

摘要

图灵天才预测了人工智能领域65年来的研究现状,并指出智能机器的概念“不能完全被忽视,因为‘智能’这个概念本身是情感的,而不是数学的”。这是第二篇关于情感思维基础的文章。在第一篇文章中,作者创建了计算情感思维的总体图景和框架。他们在工作中使用了3个基础:《情感机器》一书中描述的人工智能六层思维模型。进化心理学模型:“情绪之轮”。洛夫海姆“情绪立方体”的神经科学情绪神经传递理论。基于神经递质影响,作者提出建立情绪计算系统模型。目前的工作致力于第一篇文章未描述的三个方面:评估:算法和谓词-如何估计入站刺激触发适当的情绪反应;应对:人类处理刺激评估和进一步思考过程引发的情绪状态的方式;高层次情绪对系统及其计算过程的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Appraisal, Coping and High Level Emotions Aspects of Computational Emotional Thinking
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.
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