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Titlebook: Language and Concept Acquisition from Infancy Through Childhood; Learning from Multip Jane B. Childers Book 2020 Springer Nature Switzerlan

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書目名稱Language and Concept Acquisition from Infancy Through Childhood
副標(biāo)題Learning from Multip
編輯Jane B. Childers
視頻videohttp://file.papertrans.cn/582/581026/581026.mp4
概述Examines cross-situational learning and comparison processes in young children.Synthesizes three prominent theories and empirical research stemming from each.Draws connections between the theories wit
圖書封面Titlebook: Language and Concept Acquisition from Infancy Through Childhood; Learning from Multip Jane B. Childers Book 2020 Springer Nature Switzerlan
描述.This book examines the role of experience-based learning on children’s acquisition of language and concepts. It reviews, compares, and contrasts accounts of how the opportunity to recognize and generalize patterns influences learning. The book offers the first systematic integration of three highly influential research traditions in the domains of language and concept acquisition: Statistical Learning, Structural Alignment, and the Bayesian learning perspective. Chapters examine the parameters that constrain learning, address conditions that optimize learning, and offer explanations for cases in which implicit exemplar-based learning fails to occur. By exploring both the benefits and challenges children face as they learn from multiple examples, the book offers insight on how to better able to understand children’s early unsupervised learning about language and concepts.?..Topics featured in this book include:.Competing models of statistical learning and how learning might be constrained by infants’ developing cognitive abilities..How experience with multiple exemplars helps infants understand space and other relations..The emergence of category-based inductive reasoning during in
出版日期Book 2020
關(guān)鍵詞Bayesian approach and unsupervised learning; Cross-situational learning framework; Dedre Gentner and S
版次1
doihttps://doi.org/10.1007/978-3-030-35594-4
isbn_softcover978-3-030-35596-8
isbn_ebook978-3-030-35594-4
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Jane B. Childers of the conference was to explore recent advances in harmonic analysis on both real and p-adic groups. It was the first conference since the AMS Summer Sym- posium on Harmonic Analysis on Homogeneous Spaces, held at Williamstown, Massachusetts in 1972, to cover local harmonic analysis on reductive g
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Elizabeth Lapidow,Caren M. Walkern terms of parabolic induction. This leads to the notion of supercuspidal representation and, in the case of ., to the classification of irreducible (admissible) representations given in the work of Bernstein-Zelevinski [BZ], [Z]. On the other hand, the fact that . is a totally disconnected, locally
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Mechanisms of Statistical Learning in Infancy,ve the world as predictable and stable. Research on auditory statistical learning has revealed that infants use statistical properties of linguistic input to discover structure that may facilitate language acquisition. More broadly, statistical learning operates across sensory modalities and across
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How the Demands of a Variable Environment Give Rise to Statistical Learning,earning, the ability to identify structure in the input by detecting regular patterns, is a potential mechanism that may help infants and adults cope with, and benefit from, the variability in linguistic input. In this chapter, I provide an overview of statistical learning phenomena, including ident
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,Structure-Mapping Processes Enable Infants’ Learning Across Domains Including Language,owever, unlike most other species, we also acquire new information by means of relational generalization and transfer. In this chapter, we explore the origins of a uniquely developed human capacity—our ability to learn relational abstractions through analogical comparison. We focus on whether and ho
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