Mareschal Denis, French Robert
Centre for Brain and Cognitive Development Birkbeck College University of London.
Department of Psychology Université de Liege.
Infancy. 2000 Jan;1(1):59-76. doi: 10.1207/S15327078IN0101_06. Epub 2000 Jan 1.
This article presents a connectionist model of correlation-based categorization by 10-month-old infants (Younger, 1985). Simple autoencoder networks were exposed to the same stimuli used to test 10-month-olds. The familiarization regime was kept as close as possible to that used with the infants. The performance of the model matched that of the infants. Both infants and networks used covariation information (when available) to segregate items into separate categories. The model provides a mechanistic account of category learning within a test session. It demonstrates how categorization arises as the product of an inextricable interaction between the subject (the infant) and the environment (the stimuli). The computational characteristics of both subject and environment must be considered in conjunction to understand the observed behaviors.
本文介绍了一个关于10个月大婴儿基于相关性分类的联结主义模型（扬格，1985年）。简单的自动编码器网络接触了用于测试10个月大婴儿的相同刺激。熟悉阶段尽可能与对婴儿使用的阶段保持一致。该模型的表现与婴儿的表现相匹配。婴儿和网络都利用协变信息（如果可用）将项目分为不同类别。该模型为测试阶段内的类别学习提供了一个机械解释。它展示了分类是如何作为主体（婴儿）和环境（刺激）之间不可分割的相互作用的产物而产生的。必须结合考虑主体和环境的计算特征，才能理解观察到的行为。
