The tight coupling between category and causal learning.
The tight coupling between category and causal learning.
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DOI：
10.1007/s10339-009-0267-x
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发表时间：
2010-05
影响因子：
1.7
通讯作者：
Hagmayer, York
中科院分区：
文献类型：
--
作者：
Waldmann, Michael R.;Meder, Bjoern;von Sydow, Momme;Hagmayer, York
本研究的主要目的是证明因果模型学习中类别和因果归纳之间的相互作用。我们使用了一个两阶段的学习过程中，学习者提出的学习输入指的是两个相互关联的因果关系形成一个因果链（实验1）或一个共同的原因模型（实验2a，B）。三个事件之一（即，链的中间事件，或共同原因）作为一组未分类的示例呈现。虽然没有向参与者提供任何关于类别标签的反馈，但他们倾向于在第一阶段诱导类别，以最大限度地提高其原因或影响的可预测性。在第二个因果学习阶段，参与者可以选择以次优预测为代价从第一阶段转移新学到的类别，或者他们可以为第二个因果关系诱导一组新的最优预测类别，但以同一组事件扩散不同的类别方案为代价。结果表明，在所有三个实验中，学习者倾向于将第一个因果关系所包含的类别转移到第二个因果关系。
The main goal of the present research was to demonstrate the interaction between category and causal induction in causal model learning. We used a two-phase learning procedure in which learners were presented with learning input referring to two interconnected causal relations forming a causal chain (Experiment 1) or a common-cause model (Experiments 2a, b). One of the three events (i.e., the intermediate event of the chain, or the common cause) was presented as a set of uncategorized exemplars. Although participants were not provided with any feedback about category labels, they tended to induce categories in the first phase that maximized the predictability of their causes or effects. In the second causal learning phase, participants had the choice between transferring the newly learned categories from the first phase at the cost of suboptimal predictions, or they could induce a new set of optimally predictive categories for the second causal relation, but at the cost of proliferating different category schemes for the same set of events. It turned out that in all three experiments learners tended to transfer the categories entailed by the first causal relation to the second causal relation.
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影响因子：
2.6
作者：
Lien, YW;Cheng, PW
通讯作者：
Cheng, PW
DOI：
10.1037/0278-7393.26.1.53
发表时间：
2000-01-01
影响因子：
2.6
作者：
Waldmann, MR
通讯作者：
Waldmann, MR
影响因子：
3.4
作者：
Rehder, B;Hastie, R
通讯作者：
Hastie, R
影响因子：
2.6
作者：
Waldmann, Michael R.;Hagmayer, York
通讯作者：
Hagmayer, York
DOI：
10.1111/j.1467-8721.2006.00458.x
发表时间：
2006-12-01
影响因子：
7.2
作者：
Waldmann, Michael R.;Hagmayer, York;Blaisdell, Aaron P.
通讯作者：
Blaisdell, Aaron P.