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The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers

机译:几何语言:对人成人和学龄前儿童的几何原语和规则快速理解

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During language processing, humans form complex embedded representations from sequential inputs. Here, we ask whether a “geometrical language” with recursive embedding also underlies the human ability to encode sequences of spatial locations. We introduce a novel paradigm in which subjects are exposed to a sequence of spatial locations on an octagon, and are asked to predict future locations. The sequences vary in complexity according to a well-defined language comprising elementary primitives and recursive rules. A detailed analysis of error patterns indicates that primitives of symmetry and rotation are spontaneously detected and used by adults, preschoolers, and adult members of an indigene group in the Amazon, the Munduruku, who have a restricted numerical and geometrical lexicon and limited access to schooling. Furthermore, subjects readily combine these geometrical primitives into hierarchically organized expressions. By evaluating a large set of such combinations, we obtained a first view of the language needed to account for the representation of visuospatial sequences in humans, and conclude that they encode visuospatial sequences by minimizing the complexity of the structured expressions that capture them.
机译:在语言处理期间,人类从顺序输入形成复杂的嵌入式表示。在这里,我们询问具有递归嵌入的“几何语言”是否介绍了人类编码空间位置序列的人体能力。我们介绍了一种新的范式,其中受试者暴露于八边形上的一系列空间位置,并被要求预测未来的位置。根据包括基元和递归规则的明确鉴定的语言,序列因复杂性而变化。对误差模式的详细分析表明,对称性和旋转的原语是自发地检测和使用亚马逊的Indigene组的成人,学龄前儿童,Munduruku的成年人,他们拥有受限制的数值和几何词典和对学校教育的有限访问。此外,受试者容易将这些几何基元组合成分级有组织的表达。通过评估大量这种组合,我们获得了考虑人类探测序列的表示所需的语言的第一次视图,并结论是通过最小化捕获它们的结构化表达的复杂性来编码粘合性序列。

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