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首页> 外文期刊>International journal of signs and semiotic systems >SIMULATING THE GROUNDING OF LANGUAGE WITH NEURO-ROBOTS
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SIMULATING THE GROUNDING OF LANGUAGE WITH NEURO-ROBOTS

机译：用神经机器人模拟语言的基础

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If the symbol grounding problem is the problem of showing that the meaning of words or sentences in the brain is not represented by "symbols" decided by us but is represented as neural patterns of activation that are evolved or learned during the interactions of the individual with the world, I think the problem is solved. It is not clear what a "symbol" might be since all which exists in the brain is neurons, activation level of neurons, synapses between neurons, and strength of these synapses. Words are acoustic stimuli or movements of the phono-articulatory effectors and they are "symbols" in the sense that their auditory processing evokes specific activities in the rest of the brain (language understanding) or these activities cause the movements of the phono-articulatory effectors (language production).
机译：如果符号基础问题是表明大脑中的单词或句子的含义不是由我们决定的“符号”来表示，而是表示为个体在与人互动过程中演变或学习到的激活的神经模式。世界，我认为问题已经解决。目前尚不清楚什么是“符号”，因为存在于大脑中的全部是神经元，神经元的激活水平，神经元之间的突触以及这些突触的强度。单词是声音刺激或发声效果器的动作，它们是“符号”，即它们的听觉处理会引起大脑其余部分的特定活动（对语言的理解），或者这些活动会引起发声效果器的动作。 （语言制作）。

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