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Perceptual categories enable pattern generalization in songbirds

机译:感知类别可实现鸣禽中的模式泛化

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Since Chomsky's pioneering work on syntactic structures, comparative psychologists interested in the study of language evolution have targeted pattern complexity, using formal mathematical grammars, as the key to organizing language-relevant cognitive processes across species. This focus on formal syntactic complexity, however, often disregards the close interaction in real-world signals between the structure of a pattern and its constituent elements. Whether such features of natural auditory signals shape pattern generalization is unknown. In the present paper, we train birds to recognize differently patterned strings of natural signals (song motifs). Instead of focusing on the complexity of the overtly reinforced patterns, we ask how the perceptual groupings of pattern elements influence the generalization pattern knowledge. We find that learning and perception of training patterns is agnostic to the perceptual features of underlying elements. Surprisingly, however, these same features constrain the generalization of pattern knowledge, and thus its broader use. Our results demonstrate that the restricted focus of comparative language research on formal models of syntactic complexity is, at best, insufficient to understand pattern use.
机译:自从乔姆斯基在句法结构方面的开创性工作以来,对语言进化感兴趣的比较心理学家已经使用形式化的数学语法将模式复杂性作为目标,这是跨物种组织与语言相关的认知过程的关键。但是,这种对形式语法复杂性的关注常常忽略了现实世界中信号的结构与其组成元素之间的紧密相互作用。自然听觉信号的这种特征是否会影响模式的概括尚不清楚。在本文中,我们训练鸟类识别不同图案的自然信号(歌曲图案)。我们不关注公开增强模式的复杂性,而是询问模式元素的感知分组如何影响泛化模式知识。我们发现对训练模式的学习和感知与基本元素的感知特征不可知。但是,令人惊讶的是,这些相同的特征限制了模式知识的泛化,因此限制了其广泛的应用。我们的结果表明,比较语言研究对语法复杂性形式模型的有限关注最多是不足以理解模式使用的。

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