多项选择题认知诊断潜能的最大化

多项选择题是认知诊断中常用的测验项目形式, 其正确答案选项和经过特殊编制的干扰项都能提供诊断信息。为了提取干扰项的信息, 需要采用不同于传统认知诊断模型的心理计量模型。分类介绍能使干扰项提供诊断信息的多项选择题编制方法, 分析这类多项选择题的认知诊断模型, 认为未来应加强干扰项编制方法和能提取干扰项信息的认知诊断模型的选择和开发等方面的研究。     

偶然情绪对延迟选择的影响机制

本研究旨在探讨偶然情绪对延迟选择的影响及影响机制。本研究包括两个实验, 在被试进行决策前, 分别采用图片和短片诱发其与当前决策任务无关的偶然情绪, 然后要求被试完成选择任务, 并从决策结果和决策过程两个角度考察偶然情绪对延迟选择的影响及影响机制。结果发现, 当可选项中不存在1个优势选项时, 与正性情绪相比, 个体在负性情绪下会更倾向于延迟选择, 而个体对决策信息的加工深度在偶然情绪对延迟选择的影响中具有中介作用。这可能是因为相比于正性情绪, 个体在负性情绪下会采用更深入的加工策略, 增加了决策难度, 进而提高了个体的延迟选择倾向。     

降低决策冲动性的方法及其神经机制

大量实验研究显示, 成瘾患者、多动症患者和病态赌博者在决策中表现出冲动偏好。目前研究冲动性决策偏好的经典实验范式是延迟折扣任务。通过延迟折扣任务, 心理学家揭示了冲动性决策偏好的神经机制并构建了多种理论, 包括单一系统评价理论、双系统评价理论、自我控制理论和自我参照加工理论。基于这些理论, 已经发展出了多种降低决策冲动性的方法, 包括想象未来具体事件、工作记忆训练、预先承诺以及提高血液中葡萄糖水平, 其背后的神经机制是通过认知控制和价值表征理论来实现的。未来研究方向需集中于价值计算、价值系统和多体素模式分析(MVPA)在改善决策冲动性以及内在机制研究上的应用。     

Towards a “Sophisticated” Model of Belief Dynamics. Part I: The General Framework

It is well-known that classical models of belief are not realistic representations of human doxastic capacity; equally, models of actions involving beliefs, such as decisions based on beliefs, or changes of beliefs, suffer from a similar inaccuracies. In this paper, a general framework is presented which permits a more realistic modelling both of instantaneous states of belief, and of the operations involving them. This framework is motivated by some of the inadequacies of existing models, which it overcomes, whilst retaining technical rigour in so far as it relies on known, natural logical and mathematical notions. The companion paper (Towards a “sophisticated” model of belief dynamics. Part II) contains an application of this framework to the particular case of belief revision. Presented by Hannes Leitgeb     

Representation over time: the effects of temporal distance on similarity

Similarity is central in human cognition, playing a role in a wide range of cognitive processes. In three studies, we demonstrate that subjective similarity may change as a function of temporal distance, with some events seeming more similar when considered in the near future, while others increase in similarity as temporal distance increases. Given the ubiquity of inter-temporal thought, and the fundamental role of similarity, these results have important implications for cognition in general.     

Probabilistic models of set-dependent and attribute-level best-worst choice

We characterize a class of probabilistic choice models where the choice probabilities depend on two scales, one with a value for each available option and the other with a value for the set of available options. Then, we develop similar results for a task in which a person is presented with a profile of attributes, each at a pre-specified level, and chooses the best or the best and the worst of those attribute-levels. The latter design is an important variant on previous designs using best-worst choice to elicit preference information, and there is various evidence that it yields reliable interpretable data. Nonetheless, the data from a single such task cannot yield separate measures of the “importance” of an attribute and the “utility” of an attribute-level. We discuss various empirical designs, involving more than one task of the above general type, that may allow such separation of importance and utility.     

Bayesian Hierarchical Classes Analysis

Hierarchical classes models are models for N-way N-mode data that represent the association among the N modes and simultaneously yield, for each mode, a hierarchical classification of its elements. In this paper we present a stochastic extension of the hierarchical classes model for two-way two-mode binary data. In line with the original model, the new probabilistic extension still represents both the association among the two modes and the hierarchical classifications. A fully Bayesian method for fitting the new model is presented and evaluated in a simulation study. Furthermore, we propose tools for model selection and model checking based on Bayes factors and posterior predictive checks. We illustrate the advantages of the new approach with applications in the domain of the psychology of choice and psychiatric diagnosis. Iwin Leenen is now at the Instituto Mexicano de Investigación de Familia y Población (IMIFAP), Mexico. The research reported in this paper was partially supported by the Spanish Ministerio de Educación y Ciencia (programa Ramón y Cajal) and by the Research Council of K.U.Leuven (PDM/99/037, GOA/2000/02, and GOA/2005/04). The authors are grateful to Johannes Berkhof for fruitful discussions.     

浅析中药现代研究的困惑,探究研究策略

中药现代研究是当前医药学界的热点和重点研究领域。在面对中药现代研究取得的某些方面”突破”的同时,也须正视中药现代研究的困惑。从中药研究所面临的困惑出发,探究中药现代研究的出发点、立足点、关键点和突破点,有助于理清研究思路,明确研究方向,确定研究方法与目标,促进中药现代研究的进程。     

Computerised cognitive‐behaviour therapy (cCBT) and older people: A pilot study to determine factors that influence willingness to engage with cCBT

Objective: The aim of this study was to explore whether older people with depression and/or anxiety were potentially willing to engage with computerised cognitive‐behaviour therapy (cCBT). Method: A short questionnaire was sent to 60 service users aged 65+ who were identified as having anxiety and/or depression. Results: There was a 63.3% response rate for the questionnaire. Almost half of the respondents said they would be interested in using cCBT, and would be willing to learn the necessary computer skills. Conclusions: This pilot study suggests that older people with anxiety and/or depression may be willing to engage with cCBT. However, a number of important factors are highlighted that would need to be considered in deciding whether to develop access to cCBT for older people.     

IMAGINATION'S GRIP ON SCIENCE

Abstract: In part because “imagination” is a slippery notion, its exact role in the production of scientific knowledge remains unclear. There is, however, one often explicit and deliberate use of imagination by scientists that can be (and has been) studied intensively by epistemologists and historians of science: thought experiments. The main goal of this article is to document the varieties of thought experimentation, not so much in terms of the different sciences in which they occur but rather in terms of the different functions they fulfil. I argue that thought experimentation (and hence imagination) plays a role not only in theory choice but in singular causal analysis and scientific discovery as well. I pinpoint, moreover, some of the rules governing the use of thought experiments in theory choice and in singular causal analysis, that is, some of the criteria they should meet in order to fulfil those functions successfully.