Computational Emotional Thinking and Virtual Neurotransmitters

M. Talanov, Alexander S. Toschev
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引用次数: 10

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" (Turing, 1948). The authors' work is dedicated to construction or synthesis of computational emotional thinking. The authors used 3 bases for their work: AI-six thinking levels model described in book "The emotion machine" (Minsky, 2007). Evolutionary psychology model of emotions that is called "Wheel of emotions" (Plutchik, 2001), the authors used as subjective perception model. Neuroscience (neurotransmission) theory of emotions by Lovheim "Cube of emotions" (Lovheim, 2012) was used as objective brain emotional response model. Based on neurotransmitters impact the authors propose to model emotional computing systems. Overall presented work is synthesis of several emotional/affective theories to produce a model of emotions and affective mechanisms that fit model of six thinking levels architecture.
计算情感思维和虚拟神经递质
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”(图灵,1948)。作者的工作致力于构建或综合计算情感思维。作者在他们的工作中使用了3个基础:在《The emotion machine》(Minsky, 2007)一书中描述的ai - 6思维层次模型。进化心理学的情绪模型被称为“情绪之轮”(Plutchik, 2001),作者将其作为主观感知模型。Lovheim的“Cube of emotions”(Lovheim, 2012)的情绪神经科学(神经传递)理论作为客观的大脑情绪反应模型。基于神经递质影响,作者建议建立情绪计算系统模型。总的来说,提出的工作是综合了几种情绪/情感理论,以产生一个适合六个思维层次架构模型的情绪和情感机制模型。
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