有关条件推理中概率效应的实验研究

通过预备实验选取了四种不同条件概率的条件规则和四种不同前后件概率组合的条件规则作为实验材料,以大学生为被试,考察了两种概率因素(条件概率和前后件概率)对条件推理的演绎形式(MP、DA、AC、MT)以及变通形式(四卡问题)的影响。结果表明,两种概率因素对四种条件推理的影响都非常显著,研究进一步证实了人们对四种推理的认可程度主要与范畴前提的概率成正比的结论;但概率因素对四卡问题的解决影响不明显。     

内容和形式对毒品成瘾者条件推理的影响

本研究通过比较推理内容与推理形式对毒品成瘾者推理成绩的影响,以探究影响毒品成瘾者能力成绩的主要内在机制。实验采用了2(四卡片形式vs选择项形式)×2(描述性规则vs社会契约规则)混合设计,以240名男性戒毒人员为研究对象,考察他们在不同推理内容与不同推理形式下的条件推理作业成绩。结果发现:(1)就规则内容来看,描述性规则内容在选择项形式上的得分好于四卡片形式,社会契约规则内容在两种呈现形式下的成绩没有显著差异;(2)就规则呈现形式来看,四卡片形式下的描述性规则得分显著地低于社会契约规则得分; 选择项形式下两类规则内容得分无显著差异。结果表明:毒品成瘾者的条件推理行为既受到推理内容的影响,也受到逻辑规则呈现形式的影响。     

论述理解中逻辑有效与逻辑无效条件推理的研究

句法理论和心理模型理论是解释论述理解中逻辑有效 (如MP)与逻辑无效 (如AC)条件推理机制的两种不同观点。本研究通过两项实验旨在对这两种理论加以检测。实验要求被试阅读遵循MP或AC形式的故事后对故事结论的正确性做出判断。结果表明 ,在论述理解中 ,条件前提的语义联系强度影响MP推理 ;深思熟虑对MP和AC推理均产生影响。研究结果支持心理模型理论。     

非形式推理的研究及展望

非形式推理目前被界定为对结构不良的、用自然语言表述的、没有固定答案的、需要进行归纳的问题的推理,推理的结果是个体对问题形成一定的态度和观点。已有研究探讨了非形式推理的一般特征、衡量标准、影响推理的个体特征,以及学生非形式推理能力的培养方式等问题。作者认为开展非形式推理及其影响因素的研究将促进人格特征与认知关系的研究,并有广泛的教育意义,同时提出了有待深入研究的课题。     

材料情绪性对条件推理影响的眼动研究

以大学生为被试,采用不同情绪效价的条件命题作为实验材料,运用眼动仪器记录被试进行条件推理的过程和结果,探讨了材料情绪性对条件推理的影响状况.实验采用3(材料情绪性:正性情绪、负性情绪、中性情绪)×4(推理形式:MP、DA、AC、MT)的重复测量实验设计.研究结果发现,正性和负性情绪材料的条件推理成绩显著地低于中性情绪材料,结果支持抑制假说.     

中学生非形式推理能力的发展及环境影响因素

为了考察中学生非形式推理能力的发展以及家庭和学校有关环境因素对中学生非形式推理的影响,该研究采用提示访谈和问卷调查考察了7-9年级中学生非形式推理能力的发展及其与家庭和学校教育环境因素的关系。结果表明:(1)中学生一般具有了反驳水平的非形式推理能力,7年级学生多处于直接反驳水平,8、9年级学生多处于间接反驳水平。(2)我方和他方推理的理由数量随年级的增高而上升,反驳次数亦随年级的增高而增多。(3)中学生在我方推理中提出的理由数量与同伴影响、教师鼓励和家长引导有一定线性因果关系。     

条件推理:“演绎”与“概率”两种实验研究范式之比较

本研究通过推理心理学研究中的“演绎”和“概率”两种实验范式设计对同一个班级的大学生参与者(实验一中N=57,实验二中N=43)进行先后两次有关条件推理的实验研究后,得出如下主要结果:(1)推理者在对不同的“纯形式条件命题本身的认可度”以及对由它们各自建构的同类型推理题的推理结果之间的作答反应模式之间的差异都很小且具有较高的一致性;(2)对由不同的“含具体内容的假言命题”本身的认可度之间以及由它们建构的同类型条件推理题的推理结果之间具有较大的差异性;(3)推理者对“演绎”和“概率”两种不同实验范式分别建构的内容近似的推进题进行推理时具有大致相同的作答反应趋势。由此可以推论推理者在“概率推理实验范式”中的作答或推理结果可以被视为只是对“演绎推理实验范式”的相应推理题给出“概率解”的心理加工过程。     

条件推理与概率判断

选取6个具体内容的条件命题和1个纯形式的条件命题作为实验材料,以大学生为被试,深入探讨了条件推理的认知加工机制。结果发现,大学生被试对四种推理形式的认可程度主要与范畴前提的概率值成正比,条件推理似乎是一种基于概率判断的直觉而高效的认知加工过程,进一步证实了Oaksford（2000）以及Evans（2003）等人的观点。     

三种处理下条件三段论推理加工过程的发展研究

1　引言　　二十世纪以来 ,研究者们 (如Johnson -Laird、Holyaok、Cheng和Sloman等人 )关于条件三段论推理的研究主要集中在对成人推理过程的研究上 ,并意识到成人的推理主要在两个推理系统中进行 ,一是以规则为基础的推理系统 (rule -basedsystem) ;一是以经验联想为基础的推理系统 (associativesystem)。正确推理涉及内容和形式两个方面。前者指前提和结论在事实上的真假 ,涉及各种具体知识 ,后者是指推理形式或推理结构问题。对儿童青少年条件三段论推理的发展研究 ,就目前研究看 ,一方面研究数量不多 ,另一方面也还不够深入。Markov…     

命题内容对青少年条件推理的影响

选取3个具体内容的条件命题作为实验材料,以小四、初一、高一、大三的学生为被试,探讨了命题内容对青少年条件推理的影响机制及其发展特点。结果表明:(1)对同一年级而言,不同内容的条件命题的相同推理(MP、MT、DA、AC)之间表现出显著的差异;对不同年级而言,相同内容的条件命题的四种推理之间也存在显著的差异。(2)青少年的条件推理过程似乎是一种基于对事件发生概率估计的直觉判断,这一判断过程主要取决于个体知识经验的增长和主体认知水平的提高,而用形式逻辑的标准来衡量个体条件推理能力的高低似乎并不妥当。     

假言推理中的概率效应

近来Oaksford等人的研究表明,概率信息对假言推理的认知过程有着显著的影响,在一定程度上可以用它来解释和预测个体在推理中的行为反应。该文针对这种新的观点,就假言推理中所涉及的前后件概率信息、条件概率信息、连接概率信息、因果概率信息以及额外前提条件等对假言推理的影响分别做了简要的阐述,并介绍了一些相关的实验研究,最后作了总结和展望。     

条件推理的条件概率模型述评

该文从理论模型和实验范式两个方面对Oaksford等人提出的条件推理概率模型作了综合评述,并充分肯定该模型将演绎推理与归纳推理结合起来进行研究对推理心理学的发展所作出的重要贡献。     

Robust Bayesian growth curve modelling using conditional medians

Growth curve models have been widely used to analyse longitudinal data in social and behavioural sciences. Although growth curve models with normality assumptions are relatively easy to estimate, practical data are rarely normal. Failing to account for non-normal data may lead to unreliable model estimation and misleading statistical inference. In this work, we propose a robust approach for growth curve modelling using conditional medians that are less sensitive to outlying observations. Bayesian methods are applied for model estimation and inference. Based on the existing work on Bayesian quantile regression using asymmetric Laplace distributions, we use asymmetric Laplace distributions to convert the problem of estimating a median growth curve model into a problem of obtaining the maximum likelihood estimator for a transformed model. Monte Carlo simulation studies have been conducted to evaluate the numerical performance of the proposed approach with data containing outliers or leverage observations. The results show that the proposed approach yields more accurate and efficient parameter estimates than traditional growth curve modelling. We illustrate the application of our robust approach using conditional medians based on a real data set from the Virginia Cognitive Aging Project.     

Naïve and Robust: Class‐Conditional Independence in Human Classification Learning

Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class‐conditional independence of features. This feature independence assumption simplifies the inference problem, allows for informed inferences about novel feature combinations, and performs robustly across different statistical environments. We designed a new Bayesian classification learning model (the dependence‐independence structure and category learning model, DISC‐LM) that incorporates varying degrees of prior belief in class‐conditional independence, learns whether or not independence holds, and adapts its behavior accordingly. Theoretical results from two simulation studies demonstrate that classification behavior can appear to start simple, yet adapt effectively to unexpected task structures. Two experiments—designed using optimal experimental design principles—were conducted with human learners. Classification decisions of the majority of participants were best accounted for by a version of the model with very high initial prior belief in class‐conditional independence, before adapting to the true environmental structure. Class‐conditional independence may be a strong and useful default assumption in category learning tasks.     

The link between deductive reasoning and mathematics

ABSTRACT

Recent studies have shown that deductive reasoning skills (including transitive and conditional inferences) are related to mathematical abilities. Nevertheless, so far the links between mathematical abilities and these two forms of deductive inference have not been investigated in a single study. It is also unclear whether these inference forms are related to both basic maths skills and mathematical reasoning, and whether these relationships still hold if the effects of fluid intelligence are controlled. We conducted a study with 87 adult participants. The results showed that transitive reasoning skills were related to performance on a number line task, and conditional inferences were related to arithmetic skills. Additionally, both types of deductive inference were related to mathematical reasoning skills, although transitive and conditional reasoning ability were unrelated. Our results also highlighted the important role that ordering abilities play in mathematical reasoning, extending findings regarding the role of ordering abilities in basic maths skills. These results have implications for the theories of mathematical and deductive reasoning, and they could inspire the development of novel educational interventions.     

条件推理的语义关系表达形式效应

作者用以大学生为被试的实验考察, 基本条件句语义关系表达形式(充分关系、必要关系和析取关系表达形式)和作为心理模型外显建构的可能性判断任务对条件推理的可能影响。实验结果发现, 条件推理的语义关系表达形式效应显著, 条件句语义关系表达形式对被试条件推理有显著的影响, 条件推理成绩随条件句语义关系表达的外显程度增加而增加; 被试在可能性判断任务中对条件句所含心理模型的外显建构并没有明显改善条件推理的成绩; 在有可能性判断任务条件下, 被试外显心理模型建构的成绩变化模式并不能一致地预测条件推理成绩的变化模式。这些结果说明, 人们的条件推理可能并不是完全基于心理模型建构, 而是还受对条件句前后件之间语义关系理解的影响; 条件句表达形式中语义关系的外显内隐模式影响对条件句语义关系的知觉理解难易, 从而影响相应条件推理的成绩。     

Indicative conditionals,conditional probabilities,and the “defective truth-table”: A request for more experiments

While there is now considerable experimental evidence that, on the one hand, participants assign to the indicative conditional as probability the conditional probability of consequent given antecedent and, on the other, they assign to the indicative conditional the “defective truth-table” in which a conditional with false antecedent is deemed neither true nor false, these findings do not in themselves establish which multi-premise inferences involving conditionals participants endorse. A natural extension of the truth-table semantics pronounces as valid numerous inference patterns that do seem to be part of ordinary usage. However, coupled with something the probability account gives us—namely that when conditional-free ? entails conditional-free ψ, “if ? then ψ” is a trivial, uninformative truth—we have enough logic to derive the paradoxes of material implication. It thus becomes a matter of some urgency to determine which inference patterns involving indicative conditionals participants do endorse. Only thus will we be able to arrive at a realistic, systematic semantics for the indicative conditional.     

On Keats' generalization of the rasch model

Parameter estimation for Keats generalization of the Rasch model that takes account of guessing behavior is investigated. It is shown that no minimal sufficient statistics for the ability parameters independent of the difficulty parameters exist. Thus Andersen's conditional inference technique for consistent estimation is not applicable to Keats' model. The notion of separability of the parameters is generalized.