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8-Month-Old Infants Spontaneously Learn and Generalize Hierarchical Rules

机译:8个月大的婴儿自发地学习并归纳分层规则

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摘要

The ability to extract hierarchically organized rule structures from noisy environments is critical to human cognitive, social, and emotional intelligence. Adults spontaneously create hierarchical rule structures of this sort. In the present research, we conducted two experiments to examine the previously unknown developmental origins of this hallmark skill. In Experiment 1, we exploited a visual paradigm previously shown to elicit incidental hierarchical rule learning in adults. In Experiment 2, we used the same learning structure to examine whether these hierarchical-rule-learning mechanisms are domain general and can help infants learn spoken object-label mappings across different speaker contexts. In both experiments, we found that 8-month-olds created and generalized hierarchical rules during learning. Eyeblink rate, an exploratory indicator of striatal dopamine activity, mirrored behavioral-learning patterns. Our results provide direct evidence that the human brain is predisposed to extract knowledge from noisy environments, and they add a fundamental learning mechanism to what is currently known about the neurocognitive toolbox available to infants.
机译:从嘈杂的环境中提取分层组织的规则结构的能力对于人类的认知,社交和情感智能至关重要。成人自发地创建这种等级规则结构。在当前的研究中,我们进行了两个实验,以检验这种标志性技能的先前未知的发展起源。在实验1中,我们利用了先前显示的视觉范式来引发成人偶然的等级规则学习。在实验2中,我们使用了相同的学习结构来检查这些分层规则学习机制是否具有领域通用性,并且可以帮助婴儿学习不同说话者上下文中的口语对象-标签映射。在这两个实验中,我们发现8个月大的孩子在学习过程中创建并推广了分层规则。眨眼率是纹状体多巴胺活性的探索性指标,反映出行为学习模式。我们的结果提供了直接的证据,证明人的大脑倾向于从嘈杂的环境中提取知识,并且它们为当前有关婴儿可用的神经认知工具箱的知识增加了基本的学习机制。

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