元音范畴知觉中特征分析和整合的时间进程

采用启动范式,在三个实验中通过操纵启动音和目标音的频谱相似度和时间间隔,考察了汉语听者元音范畴知觉中特征分析和整合的时间进程。结果发现随着启动音（从纯音、复合音到目标元音本身）和目标元音频谱相似度的增加,启动效应延续的时间越来越长。实验结果支持语音范畴知觉存在早期的声学特征分析和整合到后期的范畴知觉阶段,并为这些加工阶段的时间进程提供了初步的证据。     

类别使用的特征诊断效应

运用预备实验评定过的鱼轮廓图,考察了类别判断和特征预测这两种类别使用方式下的特征诊断效应。被试是48名大学生,学习材料是两类鱼的类别成员,在测验阶段,实验1判断新项目类别标签,实验2预测新项目的缺失特征。结果表明,类别判断条件下,单个特征诊断力加强和诊断性特征数量增加都对类别判断有促进作用;特征预测条件下,只有单个特征诊断力加强可以促进特征预测,诊断性特征数量增加无助于特征预测     

归纳推理中相似性和类别标签的作用

该文采用“篇章阅读”实验范式探索了归纳推理中前提类别和结论类别间相似性、结论类别标签属性对归纳推理的作用。90名大学生被试参加了3个实验。实验1结果表明,归纳推理受前提类别和结论类别之间相似性的影响,相似性越高归纳推理力度越强;实验2结果表明,归纳推理还受结论类别上位类别知识的影响,当类别属性和相似性冲突情况下,被试更倾向按照类别属性进行推理;实验3结果表明,归纳推理通达上位类别知识是一个主动建构的过程,即使是在类别标签不确定的情况下,被试仍然依赖类别标签进行推理。并初步提出了“归纳推理力度=两事物相似性×归类概率”模型设想。     

Salience Not Status: How Category Labels Influence Feature Inference

Two main uses of categories are classification and feature inference, and category labels have been widely shown to play a dominant role in feature inference. However, the nature of this influence remains unclear, and we evaluate two contrasting hypotheses formalized as mathematical models: the label special‐mechanism hypothesis and the label super‐salience hypothesis. The special‐mechanism hypothesis is that category labels, unlike other features, trigger inference decision making in reference to the category prototypes. This results in a tendency for prototype‐compatible inferences because the labels trigger a special mechanism rather than because of any influences they have on similarity evaluation. The super‐salience hypothesis assumes that the large label influence is due to their high salience and corresponding impact on similarity without any need for a special mechanism. Application of the two models to a feature inference task based on a family resemblance category structure yields strong support for the label super‐salience hypothesis and in particular does not support the need for a special mechanism based on prototypes.     

类别标签在类别特征推理中的极化效应

采用学习—测试二阶段实验范式,对比了类别标签与类别特征在类别特征推理中的极化效应.研究结果表明,在类别标签组,标签匹配项目上的特征推理分数显著高于标签不匹配项目上的特征推理分数;在特征标签组,标签匹配项目上的特征推理分数与标签不匹配项目上的特征推理分数之间差异不显著.类别标签组的失匹配分数显著高于特征标签组.即在类别特征推理任务中,类别标签的极化效应显著高于类别特征的极化效应,因此,类别标签与类别特征存在本质差异,类别标签在类别特征推理中起主导作用.而且,本研究还发现,高前提概率条件下的特征推理分数都显著高于低前提概率条件下的特征推理分数,所以,前提概率也影响类别特征推理任务.     

类别标签与典型性程度对类别特征推理的影响

本研究采用学习-测试二阶段实验范式,探讨了类别标签及典型性程度对类别特征推理任务的共同影响,结果表明,类别标签及典型性程度都会影响类别特征推理任务,而且,类别标签及典型性程度之间存在交互作用,典型性程度为高条件下类别标签对类别特征推理任务的影响要高于典型性程度为低条件,类别标签匹配条件下,典型性程度对类别特征推理任务的影响要高于类别标签不匹配条件。     

特征类型在组合概念范畴效应中的作用

组合概念范畴效应是指,人们解释不同范畴组合概念的策略存在差异。本研究通过特征列举实验和建构路径模型,检验概念的特征类型在组合概念范畴效应中的作用。特征列举实验的结果表明,生物的实体特征比率高于人造物,而人造物的情境特征比率高于生物。路径分析的结果表明：⑴修饰词的实体特征比率显著影响属性解释比率,修饰词具有较多实体特征的组合概念得到属性解释的比率较高;⑵主名词的情境特征比率对关系解释比率的影响不显著;⑶将特征类型引入路径模型后,范畴对解释策略的影响依然显著。因此,范畴间的特征类型差异会影响组合概念范畴效应,但还存在其他影响因素有待进一步研究。     

The Importance of Being Emergent: A Theoretical Exploration of Impression Formation in Novel Social Category Conjunctions

Social category conjunction is a form of multiple categorization involving the combination of two simultaneously salient constituent categories to form a complex category (e.g., female soldier). Research has reliably demonstrated that perceivers often apply emergent traits when forming impressions of novel incongruent social category conjunctions, that is, traits not associated with the simple constituent categories (e.g., Kunda, Miller, & Claire, 1990 ). However, the theoretical literature modeling the mechanisms underlying impression formation in novel social category conjunctions is less well established and inconsistent. In this article, we critically evaluate the current state of empirical research and theory on novel social category conjunction, with particular reference to emergent traits, aiming to provide a more coherent framework for future research and theory. In addition, we seek to emphasize the wider importance of emergent traits, by drawing out links between research and theory on social category conjunctions with broader perspectives of impression formation.     

不同学习方式下归类不确定时的特征推理

采用学习-迁移模式, 探讨了同时学习和继时学习两种方式下归类不确定时的特征推理。共包括2个实验, 其中实验1探讨了固定学习轮次的情况, 实验2探讨了固定学习正确率的情况。实验结果表明：同时呈现类别要素的同时学习方式下, 被试习得序列式的单类别表征(原型表征), 在归类不确定时的特征推理中按照“单类的Bayesian规则”进行特征推理, 即P(j\F) =P(k\F)·P(j\k); 相继呈现类别要素的继时学习方式下, 被试习得并列式的多类别表征, 在归类不确定时的特征推理中按照“理性模型”进行推理, 即 P(j\F) =Σk P(k\F)·P(j\k)。     

自然概念语义特征提取的范畴效应

本研究采用概念特征自由列举实验范式,考察三类范畴(动物、自然食物、人造物)自然概念的语义特征提取反应时间的范畴效应。结果表明,⑴语义特征提取的反应时间存在范畴效应:提取动物特征的时间显著短于提取自然食物特征的时间,提取自然食物特征的时间显著短于提取人造物特征的时间;⑵三类范畴的特征提取时间模式表现出相同的规律:先是显著降低(第1到第2个特征),然后持续升高(第2到第10个特征)。语义特征提取的范畴效应反映了语义记忆组织的范畴特异性,有必要进一步分析特征提取时间与特征类型、关联特征、独有特征之间的关系,以深入揭示语义特征提取范畴效应的产生机制。     

特征相似性、类别标签与因果关系在归纳推理中的作用

采用人工材料,比较类别标签、特征相似性与因果关系对归纳推理强度的影响。包括两个实验,实验1比较类别标签与特征相似性对归纳推理的影响,结果表明,当类别标签对归纳推理的影响显著强于特征相似性时,不能将类别标签等同于一个相似性特征。实验2进一步探讨类别标签与因果关系对归纳推理的作用,结果表明,因果关系作用明显强于类别标签的作用。综合两个实验的结果并整合前人相关研究,提出了不同关系影响归纳推理的强度假想。     

A Principled Approach to Feature Selection in Models of Sentence Processing

Among theories of human language comprehension, cue-based memory retrieval has proven to be a useful framework for understanding when and how processing difficulty arises in the resolution of long-distance dependencies. Most previous work in this area has assumed that very general retrieval cues like [+subject] or [+singular] do the work of identifying (and sometimes misidentifying) a retrieval target in order to establish a dependency between words. However, recent work suggests that general, handpicked retrieval cues like these may not be enough to explain illusions of plausibility (Cunnings & Sturt, 2018), which can arise in sentences like The letter next to the porcelain plate shattered. Capturing such retrieval interference effects requires lexically specific features and retrieval cues, but handpicking the features is hard to do in a principled way and greatly increases modeler degrees of freedom. To remedy this, we use well-established word embedding methods for creating distributed lexical feature representations that encode information relevant for retrieval using distributed retrieval cue vectors. We show that the similarity between the feature and cue vectors (a measure of plausibility) predicts total reading times in Cunnings and Sturt’s eye-tracking data. The features can easily be plugged into existing parsing models (including cue-based retrieval and self-organized parsing), putting very different models on more equal footing and facilitating future quantitative comparisons.     

How Category Selection Impacts Inference Reliability: Inheritance Inference From an Ecological Perspective

This article presents results from a simulation-based study of inheritance inference, that is, inference from the typicality of a property among a “base” class to its typicality among a subclass of the class. The study aims to ascertain which kinds of inheritance inferences are reliable, with attention to the dependence of their reliability upon the type of environment in which inferences are made. For example, the study addresses whether inheritance inference is reliable in the case of “exceptional subclasses” (i.e., subclasses that are known to be atypical in some respect) and attends to variations in reliability that result from variations in the entropy level of the environment. A further goal of the study is to show that the reliability of inheritance inference depends crucially on which sorts of base classes are used in making inferences. One approach to inheritance inference treats the extension of any atomic predicate as a suitable base class. A second approach identifies suitable base classes with the cells of a partition (of a preselected size k) of the domain of objects that satisfies the condition of maximizing the similarity of objects that are assigned to the same class. In addition to permitting more inferences, our study shows that the second approach results in inheritance inferences that are far more reliable, particularly in the case of exceptional subclasses.     

基于理论的类别观和类别形成中的知识效应

1 引言 类别学习和概念形成,既是人类思维活动的起点,也是人类组织和贮存知识的基本方式。自上世纪50年代Bruner关于人工概念形成的经典研究之后,分类及分别学习逐渐成为认知心理学家关注的重要问题之一。但是以往的分类研究多以事物的感知特征为出发点,强调自下而上的加工(基于相似性的加工);而在基于理论的类别观被提出以后,特别是二十世纪九十年代以来,分类活动中自上而下的加工(基于知识的加工)开始受到重视,知识效应问题成为概念心理学领域的新热点。这方面的研究进展有望为深入理解概念和类别形成的机制提供新的契机。     

Statistical Judgment Formation in Personnel Selection: A Study in Military Aviation Psychology

This study addresses the issue of data combination in personnel selection. In a pilot study for the selection of trainee pilots for the German Luftwaffe, 99 applicants were assessed using a comprehensive battery of tests that measured inductive thinking, spatial thinking, attentiveness, visual and verbal short-term memory, sensorimotor coordination, and reactive stress tolerance. The global evaluation of the applicants' performance in a flight simulator served as an external criterion. The predictive validity of this test battery was checked by carrying out a discriminant analysis as well as by calculating a neural network. The 2 methods were compared with regard to their classification rate, stability, and separation of correct and incorrect classifications. The results show that artificial neural networks are useful tools for improving the quality of selection procedures for trainee pilots.     

The Halstead Category Test: A Fifty Year Perspective

The Category Test, a major part of the Halstead-Reitan Neuropsychological Battery, was first described in a 1943 article by Halstead and Settlage. This paper reviews the development of the test, the psychometric properties of the instrument, available administration and scoring methods, discusses various interpretative strategies, and the empirical support for the test's clinical validity. Recent developments are then reviewed, as well as what the authors see as the future potential for this instrument.     

A Two-Stage Model of Category Construction

The current consensus is that most natural categories are not organized around strict definitions (a list of singly necessary and jointly sufficient features) but rather according to a family resemblance (FR) principle: Objects belong to the same category because they are similar to each other and dissimilar to objects in contrast categories. A number of computational models of category construction have been developed to provide an account of how and why people create FR categories (Anderson, 1990; Fisher, 1987). Surprisingly, however, only a few experiments on category construction or free sorting have been run and they suggest that people do not sort examples by the FR principle. We report several new experiments and a two-stage model for category construction. This model is contrasted with a variety of other models with respect to their ability to account for when FR sorting will and will not occur. The experiments serve to identify one basis for FR sorting and to support the two-stage model. The distinctive property of the two-stage model is that it assumes that people impose more structure than the examples support in the first stage and that the second stage adjusts for this difference between preferred and perceived structure. We speculate that people do not simply assimilate probabilistic structures but rather organize them in terms of discrete structures plus noise.     

Feature selection and classification: A developmental study

Two hundred and thirteen children between the ages of 4 and 16 sorted 30 complex objects freely into groups. These were either schematic faces, schematic imaginary animals, or histoform patterns and were constructed from 9 independently and continuously varying features, each with 10 levels. The three sets were equivalent in terms of underlying numerical structure. A new method of analysis of the groups formed yielded the following direct measures of subjective organization in the sorting of each child: the number of features used in sorting, the accuracy of sorting, and the number of independent dimensions of classification. Both the material and the analysis of sorting were devised on the assumption that only some of the component features of complex objects are used for classification, while others are ignored. Sorting performance differed markedly both with age and with different types of material. The improvement in sorting ability with age, except for the youngest children, could be attributed to an increase in the number of features used rather than an improvement in the accuracy of use. In contrast, the poor sorting of histoform patterns as opposed to faces and animals was due to a low level of sorting accuracy. The basic results on the development of classification confirmed previous studies, and hence suggest that it is valid to consider feature selection as a basic component of classification.