摩梭人亲属词的概念结构

采用自由分类法探讨了摩梭人亲属词的概念结构。结果表明：(1)摩梭人亲属词的概念结构有两个维度：“亲属的亲密程度”和“辈分大小”。这与汉族和纳西族亲属词的概念结构既相似, 又存在差异。摩梭人亲属词分类的特点反映了独特的母系家庭和婚姻制度。(2)舅权和父权在摩梭人的亲属关系中正在经历着变化。作者对“摩梭母系制是原始母系制的‘活化石’”的观点提出了质疑。     

汉语句子理解中句法启动机制的眼动和ERP研究

语言产生的句法启动效应在近20年得到较深入研究。那么, 语言理解和语言产生中, 句法启动效应具有相同的加工机制吗？近些年, 研究者考察了印欧语系语言理解中的启动效应, 但还存在较多争论。这究竟是句法效应, 还是策略或者语义效应, 是词汇驱动还是词汇独立的？而且, 这是人类语言理解的语系特性还是普遍特性？单独采用行为技术、眼动技术或者ERP技术很难为这些争论提供坚实的实验证据和较深入的理论解释。鉴于此, 本项目拟采用眼动和ERP结合的技术, 从心理学、语言学和认知神经科学等多学科交叉的视角考查汉语句子理解的句法启动效应。通过分析眼动和ERP实验提供的一致性和差异性证据, 本项目力图阐明和揭示汉语句子理解中句法启动效应的认知特点和机制, 检验内隐学习理论和论元结构理论在解释句法启动效应时的适用性。     

亲环境行为研究中情感的类别、维度及其作用机理

从近20年来境外学者对亲环境行为的研究文献看, 情感的作用越来越受到关注。一个大致结论是, 情感对亲环境行为的影响往往大于认知, 有更重要的驱动作用。首次对境外学者的情感与亲环境行为研究进行了梳理和回顾。在亲环境行为研究中, 情感的类别和维度有4种划分标准, 即呈现形态、体验结构、时间维度和责任归属; 情感对亲环境行为的作用机理可以通过情感因素在亲环境行为模型中的三种角色加以分析; 情感在规范激活模型和计划行为理论模型的拓展中扮演了重要角色, 有效提升了拓展模型的解释力。未来研究需要更重视情感在亲环境行为中的测量范式、研究深度和动态影响机制。     

反馈延迟与掩蔽类型对知觉类别学习的影响

通过两个实验探讨反馈延迟与掩蔽类型对知觉类别学习的影响。实验1光栅掩蔽条件下,采用2（类别结构：基于规则vs.信息整合）×2（延迟反馈：500vs.3000ms）被试间实验设计,实验2采用同样的实验设计,保持延迟反馈时间不变,但改掩蔽类型为黑屏掩蔽。结果发现：（1）光栅掩蔽条件下,反馈延迟削弱信息整合类别结构的成绩,不影响基于规则类别学习,内隐外显类别结构之间存在分离效应。（2）黑屏掩蔽条件下,信息整合与基于规则类别结构的成绩均不受到延迟反馈的影响,分离效应消失。实验说明“无关因素”掩蔽影响知觉类别学习,知觉噪音与标准噪音在反馈延迟影响知觉类别学习中起到重要作用,COVIS模型理论关于延迟反馈时间影响知觉类别学习的解释具有局限性。     

不同认知结构被试的测验设计模式

正如不同的病症需要使用不同的医疗技术方法来诊断一样, 不同的认知结构也需要设计对应的测验模式来进行诊断, 从而保证测验具有高质量的诊断评估效果。但传统测验形式未考虑不同认知结构的针对性诊断测验需求, 导致“千人一卷”在测验效率上有所不足; 认知诊断计算机化自适应测验虽可针对不同认知结构的被试施测不同的项目, 然而支持自适应过程的题库却没有针对不同认知结构被试设计对应的项目, 导致题库使用效率较低。要解决上述问题的关键在于, 探索如何针对不同认知结构设计相对应的测验模式。本研究采用Monte Carlo模拟, 对六种属性层级关系下, 不同认知结构的测验设计模式进行探讨。实验结果表明(1)同一属性层级关系下, 不同认知结构的最佳测验设计模式不同; (2)依据不同认知结构的最佳测验设计模式构建的题库具有更高的使用效率。测验编制者可以根据实验结果针对不同认知结构优化对应的测验设计模式, 并用于指导题库建设。     

Personality in middle childhood: A hierarchical structure and longitudinal connections with personality in late adolescence

Research on the structure of personality in middle childhood, while advancing, is still in the early stages of development. In this study, we employed a group of 1563 twins to elucidate the hierarchical structure of personality in middle childhood and provide connections to established personality traits in adult populations. Our results provide evidence for a higher-order structure of personality in middle childhood that maps on to recent findings in adult populations supporting hierarchical relationships among 2-, 3-, 4-, and 5-factor models of personality. In addition, primary higher-order personality traits rated by parents at age 11 showed substantial predictive validity for analogous traits rated by self at age 17. We discuss our results within the context of developing a convergent hierarchical taxonomy of personality in middle childhood and the importance of multi-informant investigations.     

Using relational structure to detect symmetry: a Voronoi tessellation based model of symmetry perception

Numerous models of symmetry perception have been proposed in recent years. Unfortunately, it is difficult to assess the relative utility of these models as little effort has been made to directly compare them. This paper outlines a new model of symmetry perception based upon the relational structure revealed by Voronoi tessellation. The model has been developed in response to evidence suggesting that the human visual system is generating a Voronoi-like representation at an early stage in processing. Bayesian model selection is employed to compare the performance of the Voronoi model to that of five previously published models across six empirical datasets. The results indicate that the Voronoi model provides a more likely account of the data than the five alternative models.     

Inhibition in Goal Systems: A Retrieval-Induced Forgetting Account

In social psychological models of goals, particular means or goals that receive more activation are pursued while their counterparts are “inhibited.” To account for inhibition, these theories emphasize structural distribution of resources and the consequences of goal or means choices. Absent are alternate accounts of inhibition based on memory processes that rely on retrieval or recall of items. We propose that the act of recalling means or goals from memory entails inhibition of competing alternatives. Two experiments using repeated retrieval paradigms present evidence that recalling one means associated with a particular goal inhibits competing means. Moreover, this inhibitory mechanism is sensitive to the structural relationship of goals and means. Implications for models of inhibition in goal pursuit are discussed.     

Categories and Dimensions

ABSTRACT— The distinction between categories and dimensions has important consequences for basic and applied science in many areas of psychological research. Decisions as to whether individuals should be assigned to groups or located along one or more continua often are based on personal preferences or discipline-specific measurement traditions, which can lead to the creation, use, or reification of spurious categories or dimensions. Methods for evaluating the latent structure of psychological constructs, using powerful and informative tests between competing models, are available. Rather than choosing on a priori grounds, investigators can perform structural research to evaluate the strength and consistency with which results tease apart categorical and dimensional models. Here, we review why researchers should make this distinction empirically, briefly discuss methods available for doing so, and describe the breadth of areas ripe for exploiting the largely untapped potential of structural research.     

A computational model of early argument structure acquisition

How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning mechanisms that can grasp generalizations from examples of specific usages, and that exhibit patterns of behavior over the course of learning similar to those in children. Early learning of verb argument structure is an area of language acquisition that provides an interesting testbed for such approaches due to the complexity of verb usages. A range of linguistic factors interact in determining the felicitous use of a verb in various constructions —associations between syntactic forms and properties of meaning that form the basis for a number of linguistic and psycholinguistic theories of language. This article presents a computational model for the representation, acquisition, and use of verbs and constructions. The Bayesian framework is founded on a novel view of constructions as a probabilistic association between syntactic and semantic features. The computational experiments reported here demonstrate the feasibility of learning general constructions, and their exceptions, from individual usages of verbs. The behavior of the model over the timecourse of acquisition mimics, in relevant aspects, the stages of learning exhibited by children. Therefore, this proposal sheds light on the possible mechanisms at work in forming linguistic generalizations and maintaining knowledge of exceptions.