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统计学习能否引导整数?

Can statistical learning bootstrap the integers?

机构信息

Psychology Department, Northwestern University, 2029 Sheridan Road, Evanston, IL 60208, USA.

出版信息

Cognition. 2013 Sep;128(3):320-30. doi: 10.1016/j.cognition.2013.04.001. Epub 2013 Jun 6.

Abstract

This paper examines Piantadosi, Tenenbaum, and Goodman's (2012) model for how children learn the relation between number words ("one" through "ten") and cardinalities (sizes of sets with one through ten elements). This model shows how statistical learning can induce this relation, reorganizing its procedures as it does so in roughly the way children do. We question, however, Piantadosi et al.'s claim that the model performs "Quinian bootstrapping," in the sense of Carey (2009). Unlike bootstrapping, the concept it learns is not discontinuous with the concepts it starts with. Instead, the model learns by recombining its primitives into hypotheses and confirming them statistically. As such, it accords better with earlier claims (Fodor, 1975, 1981) that learning does not increase expressive power. We also question the relevance of the simulation for children's learning. The model starts with a preselected set of15 primitives, and the procedure it learns differs from children's method. Finally, the partial knowledge of the positive integers that the model attains is consistent with an infinite number of nonstandard meanings-for example, that the integers stop after ten or loop from ten back to one.

摘要

本文考察了 Piantadosi、Tenenbaum 和 Goodman(2012)的模型,该模型探讨了儿童如何学习数字词(“一”到“十”)与基数(包含一到十个元素的集合的大小)之间的关系。该模型展示了统计学习如何诱导这种关系,在这样做的过程中,它大致以儿童的方式重新组织其程序。然而,我们对 Piantadosi 等人声称该模型执行“ Carey(2009)意义上的奎因式 bootstrap”提出质疑。与 bootstrap 不同,该模型所学习的概念与其起始概念并非不连续。相反,该模型通过将其基元重新组合成假设并通过统计进行确认来学习。因此,它更符合早期的观点(Fodor,1975,1981),即学习不会增加表达能力。我们还质疑该模拟对儿童学习的相关性。该模型从一组预先选择的 15 个基元开始,并且它学习的过程与儿童的方法不同。最后,该模型获得的正整数的部分知识与无数非标准含义一致——例如,整数在十之后停止或从十循环回到一。

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