Incidental emotions have a greater impact on the logicality of less proficient reasoners

Previous research shows differences in reasoning about emotional and neutral stimuli. A common explanation hypothesised for this effect is that emotion incurs an additional cognitive load. If this is the case, incidental emotion should have a greater impact on the reasoning of less proficient reasoners, and when items are more difficult, because a greater proportion of available cognitive resources must be allocated to the task. We manipulated the emotional value of reasoning stimuli using conditioning and with the simultaneous presentation of images. The deleterious effect of emotion on logicality was greater for less proficient reasoners. There was also some indication that the effect of emotion may be more pronounced for more difficult items. Physiological responses and affective evaluations of the stimuli were similar across groups, irrespective of reasoning proficiency. Results provide some support for the hypothesis that the impact of emotion occurs through increased cognitive load.     

Individual differences in working memory capacity and resistance to belief bias in syllogistic reasoning

In two experiments, we investigated the possibility that individual differences in working memory capacity (WMC) would provide resistance to belief bias in syllogistic reasoning. In Experiment 1 (N?=?157), participants showed a belief bias effect in that they had longer response times and decreased accuracy on syllogisms with conflict between the validity and believability of the conclusion than on syllogisms with no such conflict. However, this effect did not differ as a function of individual differences in WMC. Experiment 2 (N?=?122) replicated this effect with the addition of decontextualized (i.e., nonsense) syllogisms as a different means of measuring the magnitude of the belief bias effect. Although individual differences in WMC and fluid intelligence were related to better reasoning overall, the magnitude of the belief bias effect was not smaller for participants with greater WMC. The present study offers two novel findings: (a) The belief bias effect is independent of individual differences in WMC and fluid intelligence, and (b) resolving conflict in verbal reasoning is not a type of conflict resolution that correlates with individual differences in WMC, further establishing boundary conditions for the role of WMC in human cognitive processes.     

The modulation of disjunctive assertions

The theory of mental models postulates that disjunctions of the sort, A or B, where A and B are sensible everyday clauses, have a core meaning that allows an inclusive interpretation, referring to three possibilities: A and not-B, not-A and B, and A and B. The meaning of the clauses and knowledge can modulate this meaning by blocking the construction of at least one model of a possibility—for example, “Rui is playing tennis or he is surfing” blocks the model of Rui doing both activities. This theory is implemented in a computer program. Three experiments investigated the core interpretation and interpretations in which the contents of the clauses should block the model of A and B (as in the preceding example), the model of A and not-B, or the model of not-A and B. In Experiment 1, the participants listed the possibilities for each of the four sorts of disjunction. The results corroborated the predicted modulations. In Experiment 2, these predicted interpretations governed the conclusions that participants accepted from disjunctions and categorical premises. In Experiment 3, the predicted interpretations yielded reliable effects on the conclusions that the participants drew for themselves. We relate these results to theories of reasoning.     

Advice conditionals about tips and warnings: interpretations and inferences

Two experiments examine how people interpret and reason about advice conditionals, such as tips, for example, “if you study more your grades will improve”, and warnings, for example, “if you stop exercising you will gain weight”. Experiment 1 showed that when participants reason about whether a tip or warning could be true in different situations, their judgments correspond to a biconditional or conditional interpretation on about half of all trials, but to an enabling or tautology interpretation on many others. Experiment 2 showed that participants make few modus ponens and tollens inferences from tips and warnings, and more modus ponens inferences from tips than warnings. The implications for alternative theories are discussed.     

5～8岁儿童二级信念-愿望推理能力的发展

该研究依据信念(正确-错误)和愿望(接近-回避)对儿童的二级信念-愿望推理能力进行了细分,并据此设计了四个二级信念-愿望任务,探讨了480名5～8岁儿童在四个任务上的表现。结果发现,对儿童而言,不同的二级信念-愿望任务的难度不同,由易到难的顺序依次为:二级真实信念接近愿望、二级错误信念接近愿望、二级真实信念回避愿望、二级错误信念回避愿望。     

工作场所中的反生产行为及其心理机制

反生产行为(Counterproductive Work Behavior, CWB)是员工在工作场所中实施的蓄意伤害组织利益或与组织利益有关的其他成员的行为。本文对反生产行为的概念、分类、理论解释等的最新研究进展进行了系统梳理和全面回顾。在整理和分析已有理论和实证研究成果的基础上, 提出了反生产行为的发生机制模型, 即反生产行为的发生遵循“压力情境→认知加工→负性情绪反应→反生产行为”的逻辑顺序。“认知加工”和“负性情绪反应”是反生产行为发生过程中的两个关键环节, 具体表现为个体在压力情境下的归因过程及负性情绪的生成。在此基础上, 对与反生产行为有关的最新研究成果进行了整合, 并且对当前反生产行为的研究的开展进行了有针对性地评价和展望。     

中学生图形推理认知特征诊断

在前人的研究基础上进行口语报告分析,形成图形推理的认知成分模型。引进多策略多成分潜在特质模型（MLTM for MS）将图形推理的认知成分模型与心理测量模型加以整合,对235名中学生图形推理认知特征进行诊断。结果发现：（1）图形推理总能力相同的被试,各成分对应能力即视知觉识别能力、规则构建能力、规则应用能力不一定相同。（2）被试使用知觉分析策略和分析策略的正确作答概率较高,而使用猜测策略的正确作答概率较低。     

专家医生的知识结构及诊断推理方式

医学专长研究中“中间者效应”的发现,引发了研究者对专家医生知识结构的探讨。在“知识打包”的基础上,医生的临床知识以“疾病脚本”的方式组织起来。随着临床经验的增加,专家医生积累了丰富的疾病脚本。在临床诊断中,他们无需对病人所有的体征和症状进行仔细地和系统地分析,而是通过非分析性的推理方式——“模式识别”或“样例识别”便可自动激活与之匹配的疾病脚本,据此对病人做出迅速而准确的诊断。医学专长的本质就在于专家医生以“疾病脚本”的方式组织起来的知识结构。“适应性专长”代表了未来医学专长研究的新方向     

Helping families improve: an evaluation of two primary care approaches to parenting support in the Netherlands

The present study evaluated two primary care parenting interventions. First, we evaluated the most widely used Dutch practices for primary care parenting support. Second, we assessed the applicability of the Primary Care Triple P approach, which is now being utilized in a wide variety of primary care settings. Both interventions target parents of children with mild to moderate behavioural and/or emotional problems, with the aim of improving parenting skills and thereby decreasing child problems. We examined the interventions in pre‐, post‐ and follow‐up assessment, and compared the results. Both interventions produced significant reductions in reported child emotional and behaviour problems, that also remained after 3 months. For both groups, parenting styles were also found to have improved at both post‐test and follow‐up measurement. When compared with the regular Dutch parenting consultation practices, however, the Primary Care Triple P approach produced greater reductions in parental laxness and total parenting dysfunction, and greater improvement in total parenting competence at both post‐test and follow‐up. Primary Care Triple P may even—in light of the greater improvements in parenting skills and total parental competences in the Triple P group than in the regular Dutch parenting consultation group—produce better results in the long run concerning child behaviour and emotional problems. Copyright © 2009 John Wiley & Sons, Ltd.     

Nonmonotonic abductive inductive learning

Inductive Logic Programming (ILP) is concerned with the task of generalising sets of positive and negative examples with respect to background knowledge expressed as logic programs. Negation as Failure (NAF) is a key feature of logic programming which provides a means for nonmonotonic commonsense reasoning under incomplete information. But, so far, most ILP research has been aimed at Horn programs which exclude NAF, and has failed to exploit the full potential of normal programs that allow NAF. By contrast, Abductive Logic Programming (ALP), a related task concerned with explaining observations with respect to a prior theory, has been well studied and applied in the context of normal logic programs. This paper shows how ALP can be used to provide a semantics and proof procedure for nonmonotonic ILP that utilises practical methods of language and search bias to reduce the search space. This is done by lifting an existing method called Hybrid Abductive Inductive Learning (HAIL) from Horn clauses to normal logic programs. To demonstrate its potential benefits, the resulting system, called XHAIL, is applied to a process modelling case study involving a nonmonotonic temporal Event Calculus (EC).