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动态系统理论在认知与发展中的应用:新前沿

Applications of Dynamic Systems Theory to Cognition and Development: New Frontiers.

作者信息

Perone S, Simmering V R

机构信息

Washington State University, Pullman, WA, United States.

University of Wisconsin-Madison, Madison, WI, United States.

出版信息

Adv Child Dev Behav. 2017;52:43-80. doi: 10.1016/bs.acdb.2016.10.002. Epub 2017 Jan 30.

Abstract

A central goal in developmental science is to explain the emergence of new behavioral forms. Researchers consider potential sources of behavioral change depending partly on their theoretical perspective. This chapter reviews one perspective, dynamic systems theory, which emphasizes the interactions among multiple components to drive behavior and developmental change. To illustrate the central concepts of dynamic systems theory, we describe empirical and computational studies from a range of domains, including motor development, the Piagetian A-not-B task, infant visual recognition, visual working memory capacity, and language learning. We conclude by advocating for a broader application of dynamic systems approaches to understanding cognitive and behavioral development, laying out the remaining barriers we see and suggested ways to overcome them.

摘要

发展科学的一个核心目标是解释新行为形式的出现。研究人员考虑行为变化的潜在来源,这在一定程度上取决于他们的理论视角。本章回顾了一种视角,即动态系统理论,该理论强调多个组成部分之间的相互作用以驱动行为和发展变化。为了阐明动态系统理论的核心概念,我们描述了一系列领域的实证研究和计算研究,包括运动发展、皮亚杰的A非B任务、婴儿视觉识别、视觉工作记忆容量和语言学习。我们最后主张更广泛地应用动态系统方法来理解认知和行为发展,列出我们看到的剩余障碍以及克服这些障碍的建议方法。

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