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无与伦比:揭示判断和分类任务中的学习效应。

Nothing compares: Unraveling learning task effects in judgment and categorization.

机构信息

Center for Adaptive Rationality, Max Planck Institute for Human Development.

出版信息

J Exp Psychol Learn Mem Cogn. 2019 Dec;45(12):2239-2266. doi: 10.1037/xlm0000696. Epub 2019 Apr 18.

Abstract

In judgment and categorization, the task is to infer the criterion value of an object based on cues. The cognitive mechanisms underlying such inferences are often distinguished in terms of whether they rely on an abstracted cue-criterion rule or on retrieving exemplars. The use of cue-based and exemplar-based strategies (and the associated generalization ability) has been shown to be influenced by how people had previously learned about the structure of the environment: learning by comparing two objects on the criterion promotes the subsequent adoption of a cue-based strategy (and generalization ability), directly learning the continuous criterion for each individual object promotes the use of an exemplar-based strategy. It is currently unclear, however, how to explain these learning task effects theoretically. We disentangled the role of three theoretically relevant differences between the two types of learning task: (a) the opportunity to directly compare the cue profiles of the objects, (b) the provision of continuous criterion information, and (c) the relative (as opposed to absolute) nature of the feedback given. In three experiments, and consistently across a categorization task and a judgment task, we found that the learning task effects seem to be driven by the relative nature of the feedback in learning by comparison, and, to a lesser extent, by the provision of the object's continuous criterion values in direct criterion learning. Cue comparison during training did not seem to contribute to the learning task effects. Our results extend existing theoretical frameworks for the use of cue-based and exemplar-based strategies. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

摘要

在判断和分类任务中,任务是根据线索推断对象的准则值。这种推理的认知机制通常根据它们是否依赖于抽象的线索-准则规则或检索范例来区分。基于线索和基于范例的策略的使用(以及相关的泛化能力)已被证明受到人们以前对环境结构的学习方式的影响:通过比较两个标准对象来学习会促进后续采用基于线索的策略(和泛化能力),直接为每个单独的对象学习连续的标准会促进基于范例的策略的使用。然而,目前尚不清楚如何从理论上解释这些学习任务的影响。我们将两种学习任务之间三个理论上相关的差异的作用分开:(a)直接比较对象线索特征的机会,(b)提供连续标准信息,以及(c)反馈的相对(而不是绝对)性质。在三项实验中,并且在分类任务和判断任务中都一致,我们发现学习任务的影响似乎是由比较学习中反馈的相对性质驱动的,并且在较小程度上是由直接标准学习中对象连续标准值的提供驱动的。训练期间的线索比较似乎并没有对学习任务的影响做出贡献。我们的结果扩展了基于线索和基于范例的策略使用的现有理论框架。(PsycINFO 数据库记录(c)2019 APA,保留所有权利)。

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