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基于相似性与基于规则的分类

Similarity- versus rule-based categorization.

作者信息

Smith E E, Sloman S A

机构信息

Department of Psychology, University of Michigan, Ann Arbor 48104.

出版信息

Mem Cognit. 1994 Jul;22(4):377-86. doi: 10.3758/bf03200864.

DOI:10.3758/bf03200864
PMID:7934944
Abstract

An influential study by Rips (1989) provides the strongest evidence available that categorization cannot be reduced to similarity. In Rips's study, subjects were presented a sparse description of an object that mentioned only a value on a single dimension (e.g., "an object 3 inches in diameter"), followed by two categories (e.g., pizza and quarter), where one allowed more variability on the relevant dimension than did the other (the diameter of pizzas is more variable than that of quarters). Subjects judged the described object to be more likely to be a member of the variable category (pizza), but more similar to the nonvariable category (quarter). This dissociation between categorization and similarity strongly implies that categorization was not based on similarity. In our first experiment, we used sparse descriptions like Rips's, as well as rich descriptions that contained features characteristic of the nonvariable category. We found that categorization tracked similarity with both kinds of descriptions. In a second experiment, we modified our procedure to be more like that of Rips's by requiring subjects to think aloud while making their decisions. Now, like Rips, we found a dissociation between similarity and categorization with sparse items; with rich descriptions, categorization again tracked similarity. These findings are consistent with the hypothesis that categorization can be done in two ways, by similarity and by rule. An exclusive reliance on rule-based categorization seems to occur only when the description of the to-be-categorized object does not contain any features characteristic of any relevant category.

摘要

里普斯(1989年)进行的一项颇具影响力的研究提供了现有最有力的证据,表明分类不能简化为相似性。在里普斯的研究中,向受试者展示了一个物体的简略描述,只提及了一个维度上的值(例如,“一个直径3英寸的物体”),随后是两个类别(例如,披萨和25美分硬币),其中一个类别在相关维度上允许的变化比另一个更大(披萨的直径比25美分硬币的直径变化更大)。受试者判断所描述的物体更有可能是变化较大的类别(披萨)的成员,但与变化较小的类别(25美分硬币)更相似。分类与相似性之间的这种分离强烈暗示分类并非基于相似性。在我们的第一个实验中,我们使用了与里普斯类似的简略描述,以及包含变化较小类别特征的详细描述。我们发现,对于这两种描述,分类都与相似性相关。在第二个实验中,我们修改了实验程序,使其更类似于里普斯的程序,要求受试者在做决定时大声说出想法。现在,和里普斯一样,我们发现对于简略描述,相似性和分类之间存在分离;对于详细描述,分类再次与相似性相关。这些发现与分类可以通过两种方式进行的假设一致,即通过相似性和通过规则。似乎只有当待分类物体的描述不包含任何相关类别的特征时,才会完全依赖基于规则的分类。

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本文引用的文献

1
The role of theories in conceptual coherence.理论在概念连贯性中的作用。
Psychol Rev. 1985 Jul;92(3):289-316.
2
Array models for category learning.用于类别学习的阵列模型。
Cogn Psychol. 1986 Oct;18(4):500-49. doi: 10.1016/0010-0285(86)90008-3.
3
Attention, similarity, and the identification-categorization relationship.注意力、相似性及识别-分类关系。
先前的变异性经验影响未指定类别的泛化。
Q J Exp Psychol (Hove). 2024 Jul;77(7):1518-1532. doi: 10.1177/17470218231210491. Epub 2023 Dec 4.
4
A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge.分类中背景知识的功能情境解释:对通用人工智能和常识认知解释的启示。
Front Psychol. 2022 Mar 2;13:745306. doi: 10.3389/fpsyg.2022.745306. eCollection 2022.
5
Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity.将人类分类行为的深度神经网络预测基于可理解的功能特征进行锚定:以面部识别为例。
Patterns (N Y). 2021 Sep 10;2(10):100348. doi: 10.1016/j.patter.2021.100348. eCollection 2021 Oct 8.
6
Learning and Representation of Hierarchical Concepts in Hippocampus and Prefrontal Cortex.海马体和前额叶皮层中层次概念的学习和表示。
J Neurosci. 2021 Sep 8;41(36):7675-7686. doi: 10.1523/JNEUROSCI.0657-21.2021. Epub 2021 Jul 30.
7
Revealing the multidimensional mental representations of natural objects underlying human similarity judgements.揭示人类相似性判断所基于的自然物体的多维心理表象。
Nat Hum Behav. 2020 Nov;4(11):1173-1185. doi: 10.1038/s41562-020-00951-3. Epub 2020 Oct 12.
8
Brain Mechanisms of Concept Learning.概念学习的大脑机制。
J Neurosci. 2019 Oct 16;39(42):8259-8266. doi: 10.1523/JNEUROSCI.1166-19.2019.
9
Quantitative modeling of category learning deficits in various patient populations.各类患者群体类别学习缺陷的定量建模
Neuropsychology. 2017 Nov;31(8):862-876. doi: 10.1037/neu0000422.
10
Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning.多巴胺能基因多态性预测基于规则的类别学习。
J Cogn Neurosci. 2016 Jul;28(7):959-70. doi: 10.1162/jocn_a_00942. Epub 2016 Feb 26.
J Exp Psychol Gen. 1986 Mar;115(1):39-61. doi: 10.1037//0096-3445.115.1.39.
4
Concepts and conceptual structure.概念与概念结构。
Am Psychol. 1989 Dec;44(12):1469-81. doi: 10.1037/0003-066x.44.12.1469.
5
Rules of language.
Science. 1991 Aug 2;253(5019):530-5. doi: 10.1126/science.1857983.