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Particularities and Universalities of the Emergence of Inductive Generalization

机译:归纳泛化的特殊性和普遍性

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Inductive generalization is the primary way by which human beings arrive at the construction of knowledge. Usually, it is assumed that it operates in a linear manner—each new feature becomes “piled up” in the inductive accumulation of evidence. We question this view, and otherwise claim that inductive generalization is essentially a non-linear dynamic process that fits the theoretical premises of the Dynamic Systems Theory. In our study, we explore the ability that young infants have when making inductive generalizations -previous studies show the existence of this capacity not earlier than at the age of 14 months. These studies have been cross-sectional in nature, but they do not offer an answer to the question of emergence of cognitive capabilities, therefore, a short-term longitudinal study is needed. Based on 3 case studies carried out longitudinally in infants ranging from 9 to 14 months, we demonstrate how the process of inductive generalization occurs from a conceptualization of nonlinear dynamic systems. We use Min – Max and State Space techniques, which allow us to show how the infant uses diverse pathways of actions with everyday objects to facilitate inductive generalization. The identified paths are not the same, they present differential and common moments that confirm the dynamic nature of development, and provide empirical evidence on the emergence of non-linear, non-sequential or inductive generalization.
机译:归纳概括是人类到达知识建构的主要方式。通常,假定它以线性方式运行-每个新特征在归纳式证据积累中被“堆积”。我们质疑这种观点,否则就主张归纳概括本质上是一个符合动态系统理论的前提的非线性动态过程。在我们的研究中,我们探索了幼儿进行归纳概括时的能力-先前的研究表明这种能力的存在不早于14个月大。这些研究本质上是横断面的,但是它们并不能解决认知能力出现的问题,因此,需要进行短期的纵向研究。基于在9到14个月不等的婴儿中纵向进行的3个案例研究,我们证明了归纳泛化的过程是如何从非线性动力系统的概念化中发生的。我们使用最小-最大和状态空间技术,这些技术使我们能够展示婴儿如何利用日常对象的各种行动途径来促进归纳概括。所确定的路径是不同的,它们呈现出不同的共同时刻,这些时刻确认了发展的动态性质,并为非线性,非顺序或归纳概括的出现提供了经验证据。

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