Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena
Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena
复制标题
因果系统类别：因果现象的新手和专家分类的差异
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Micah B. Goldwater
中科院分区：
文献类型：
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作者：
Benjamin M. Rottman;D. Gentner;Micah B. Goldwater
我们调查了大学生对因果系统类别的理解，这些类别是由共同的因果结构而不是共同的领域内容定义的。我们要求物理科学的新手或专家对现实世界中因果结构不同的现象进行分类描述（例如，负反馈对因果链）以及在它们的内容域（例如，经济学与生物学）。我们的假设是，随着相关领域专业知识的增加，将从基于领域的排序转变为因果排序。这一预测得到了证实：新手组主要按领域分类，专家组按因果类别分类。这些结果表明，科学训练促进洞察力的因果结构。
We investigated the understanding of causal systems categories--categories defined by common causal structure rather than by common domain content--among college students. We asked students who were either novices or experts in the physical sciences to sort descriptions of real-world phenomena that varied in their causal structure (e.g., negative feedback vs. causal chain) and in their content domain (e.g., economics vs. biology). Our hypothesis was that there would be a shift from domain-based sorting to causal sorting with increasing expertise in the relevant domains. This prediction was borne out: the novice groups sorted primarily by domain and the expert group sorted by causal category. These results suggest that science training facilitates insight about causal structures.
专业知识和基于类别的归纳。
DOI：
10.1037//0278-7393.26.4.811
发表时间：
2000
期刊：
Journal of experimental psychology. Learning, memory, and cognition
影响因子：
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作者：
Proffitt,JB;Coley,JD;Medin,DL
通讯作者：
Medin,DL
DOI：
10.1037/0278-7393.29.6.1141
发表时间：
2003-11-01
影响因子：
2.6
作者：
Rehder, B
通讯作者：
Rehder, B
影响因子：
5.4
作者：
Gopnik, A;Glymour, C;Danks, D
通讯作者：
Danks, D