A new definition of well-behaved discrimination functions

A discrimination function shows the probability or degree with which stimuli are discriminated from each other when presented in pairs. In a previous publication [Kujala, J.V., & Dzhafarov, E.N. (2008). On minima of discrimination functions. Journal of Mathematical Psychology, 52, 116–127] we introduced a condition under which the conformity of a discrimination function with the law of Regular Minimality (which says, essentially, that “being least discriminable from” is a symmetric relation) implies the constancy of the function’s minima (i.e., the same level of discriminability of every stimulus from the stimulus least discriminable from it). This condition, referred to as “well-behavedness,” turns out to be unnecessarily restrictive. In this note we give a significantly more general definition of well-behavedness, applicable to all Hausdorff arc-connected stimulus spaces. The definition employs the notion of the smallest transitively and topologically closed extension of a relation. We provide a transfinite-recursive construction for this notion and illustrate it by examples.     

The semantic red effect: Processing the word red undermines intellectual performance

Recent research has shown that a two second glimpse of color can have an important influence on affect, cognition, and behavior. The present research examined whether perceiving color is necessary to produce an effect on psychological functioning or whether the mere act of processing a color word might be sufficient. Specifically, four experiments tested the hypothesis that processing the word red undermines intellectual performance, much like actually perceiving the color red. Supportive data were obtained with three different types of subtle manipulation, with three different types of control words, and on two different types of IQ test performance. Worry, but not mood or general arousal, was shown to mediate the semantic red effect, which appears to take place outside of individuals’ awareness. The theoretical and practical implications of the results are discussed.     

Electrophysiological markers of categorical perception of color in 7-month old infants

The origin of color categories has been debated by psychologists, linguists and cognitive scientists for many decades. Here, we present the first electrophysiological evidence for categorical responding to color before color terms are acquired. Event-related potentials were recorded on a visual oddball task in 7-month old infants. Infants were shown frequent presentations of one color (standard) interspersed with infrequent presentations of a color that was either from the same category (within-category deviant) or from a different category (between-category deviant) to the standard. Differences in the event-related potentials elicited by the stimuli were found that were related to the categorical relationship of the standard and the deviant stimuli. The data are discussed in relation to the processes that underlie categorical responding in infancy, as well as the debate about the origin of color categories in language and cognition.     

Tatsuoka 矩阵理论的修正

K .K.Tatsuoka和她同事开发的规则空间模型（RSM）是一种在国内外有较大影响的认知诊断模型,但是Tatsuoka的RSM中 矩阵理论存在缺陷和错误,这些失误使得RSM中用布尔描述函数（BDF）计算被试理想项目反应模式（IRP）的方法缺乏理论依据。这里揭示了Tatsuoka的 矩阵理论的缺陷和错误并引进既不使用BDF又便于应用的计算IRP的方法;接着还介绍一种由可达阵计算简化 阵的方法,该方法显示了可达阵在构造认知诊断测验的重要性。这些结果对丰富 矩阵理论及正确使用RSM进行认知诊断有一定的意义     

利用反诱导消除McCollough效应

ＭｃＣｏｌｌｏｕｇｈ效应在完全黑暗和自然视觉条件下的消退过程很缓慢,而利用同频补色条栅来进行反诱导,能在十几分钟内消除显色效应。消除所用时间与反诱导条栅的亮度、颜色和栅条间距（空间频率）有关。进一步说明导致ＭｃＣｏｌｌｏｕｇｈ效应恢复平衡的主要因素跟网膜刺激方式有关。     

视觉注意选择性的认知心理学理论研究进展

对注意选择性及其作用的探讨又具有极大的方法论价值 ,它既涉及许多基于有注意参与的知觉、决策、学习和记忆等重大心理学理论问题 ,又涉及对这些理论的评价以及其他一系列的研究方法的理解 ,本文仅就目前认知心理学关于“基于空间”和“基于客体”两大理论学派的研究进行简要回顾。     

速示重复和非速示呈现下的汉字结构方式效应

在速示重复和非速示两种实验条件下考察了汉字大小和笔画数对结构方式效应的影响。在速示实验中,发现有结构方式主效应,并在小号字上以及两种笔画数的汉字上也存在结构方式效应;在非速示实验中,没有发现结构方式主效应,但在多笔画的小号汉字上和多笔画的中号汉字上存在结构方式效应。两个实验还表明,汉字的结构方式效应量值随着视觉条件的改善而减少。该文提出了用以解释结构方式效应的汉字空间通透性概念及其算法,并且讨论了解释结构方式效应量值随着视觉清晰度的改善而系统性减少的模型。     

De l'argumentation comme métamorphose

Linguistic rhetoric and argumentative reasoning are generally identified. Certain types of problems, however, make use of non-verbal systems of representation, and, among them, image. Image is not just matter but also form, and computer processing in AI makes it possible to grasp this form by linguistic means (logico-mathematical languages). The synthesis of animated images has made it possible to represent metamorphoses, the thought of the unexpected. The fact that language produces image (and conversely) does not fail to transform the standard ways of thinking about epistemology.

     

Principal components analysis of sampled functions

This paper describes a technique for principal components analysis of data consisting ofn functions each observed atp argument values. This problem arises particularly in the analysis of longitudinal data in which some behavior of a number of subjects is measured at a number of points in time. In such cases information about the behavior of one or more derivatives of the function being sampled can often be very useful, as for example in the analysis of growth or learning curves. It is shown that the use of derivative information is equivalent to a change of metric for the row space in classical principal components analysis. The reproducing kernel for the Hilbert space of functions plays a central role, and defines the best interpolating functions, which are generalized spline functions. An example is offered of how sensitivity to derivative information can reveal interesting aspects of the data.This research was supported by Grant PA 0320 to the second author by the Natural Sciences and Research Council of Canada. We are grateful to the reviewers of an earlier version and to J. B. Kruskal and S. Winsberg for many helpful comments concerning exposition.