When functions and causes compete

The discounting principle states that ‘the role of a given cause in producing a given effect is discounted if other plausible causes are present’ (Kelley, 1972 Kelley, H. H. 1972. “Attribution theory in social psychology”. In Attribution: Perceiving the causes of behaviour, Edited by: Jones, E., Kanouse, D., Kelley, H., Nisbett, R., Valins, S. and Weiner, B. 1–26. Morristown, NJ: General Learning Press.  [Google Scholar], p. 8). The principle has only been tested with cases where the two explanations are of the same kind (i.e., causal explanations). However, explanations of properties of objects, people, or events often involve functions. Zebras have stripes in order to be better camouflaged. Humans have eyebrows to keep sweat from running into their eyes. Adrenaline is secreted in order to modulate fight and flight responses. Thus, what happens when we are faced with two different kinds of explanation for the same property: one functional and one causal? People evaluated explanations of properties for natural kinds and artefacts. Functional explanations were discounted in favour of causal explanations, however this was only true for properties of artefacts. The presence of an alternative explanation for properties of natural kinds did not affect the plausibility of either kind of explanation.     

Evidence for an illusion of causality when using the Implicit Association Test to measure learning

Our ability to detect causal relations and patterns of covariation is easily biased by a number of well-known factors. For example, people tend to overestimate the strength of the relation between a cue and an outcome if the outcome tends to occur very frequently. During the last years, several accounts have attempted to explain the outcome-density bias. On the one hand, dual-process performance accounts propose that biases are not due to the way associations are encoded, but to the higher-order cognitive processes involved in the retrieval and use of this information. In other words, the outcome-density bias is seen as a performance effect, not a learning effect. From this point of view, it is predicted that the outcome-density bias should be absent in any testing procedure that reduces the motivation or opportunity to engage in higher-order cognitive processes. Contrary to this prediction, but consistent with the most common single-process learning accounts, our results show that the outcome-density effect can be detected when the Implicit Association Test is used to measure the strength of cue–outcome associations.     

Sticking to the Evidence? A Behavioral and Computational Case Study of Micro‐Theory Change in the Domain of Magnetism

Constructing an intuitive theory from data confronts learners with a “chicken‐and‐egg” problem: The laws can only be expressed in terms of the theory's core concepts, but these concepts are only meaningful in terms of the role they play in the theory's laws; how can a learner discover appropriate concepts and laws simultaneously, knowing neither to begin with? We explore how children can solve this chicken‐and‐egg problem in the domain of magnetism, drawing on perspectives from computational modeling and behavioral experiments. We present 4‐ and 5‐year‐olds with two different simplified magnet‐learning tasks. Children appropriately constrain their beliefs to two hypotheses following ambiguous but informative evidence. Following a critical intervention, they learn the correct theory. In the second study, children infer the correct number of categories given no information about the possible causal laws. Children's hypotheses in these tasks are explained as rational inferences within a Bayesian computational framework.     

Methodological Challenges in Causal Research on Racial and Ethnic Patterns of Cognitive Trajectories: Measurement, Selection, and Bias

Research focused on understanding how and why cognitive trajectories differ across racial and ethnic groups can be compromised by several possible methodological challenges. These difficulties are especially relevant in research on racial and ethnic disparities and neuropsychological outcomes because of the particular influence of selection and measurement in these contexts. In this article, we review the counterfactual framework for thinking about causal effects versus statistical associations. We emphasize that causal inferences are key to predicting the likely consequences of possible interventions, for example in clinical settings. We summarize a number of common biases that can obscure causal relationships, including confounding, measurement ceilings/floors, baseline adjustment bias, practice or retest effects, differential measurement error, conditioning on common effects in direct and indirect effects decompositions, and differential survival. For each, we describe how to recognize when such biases may be relevant and some possible analytic or design approaches to remediating these biases.     

Expressed emotion and causal attributions in relatives of post-traumatic stress disorder patients

This study investigates the relationship between expressed emotion (EE) and causal attributions in relatives of post-traumatic stress disorder (PTSD) patients, and examines the contributions of EE and attributions to patient outcomes. Thirty-eight relatives of patients with PTSD participating in a treatment trial were assessed on EE, causal attributions for patient problems and nature of attributions. Patients' PTSD symptoms at 6 and 12 months were assessed. Criticism and hostility in relatives were associated with attributing problems to factors controllable by patients. Relatives with marked emotional over-involvement (EOI) had an attributional profile similar to low EE relatives. Deficits in normal behaviour ("negative symptoms") were perceived as more controllable, internal and stable than were more obvious signs of an illness or mental health problem such as hypervigilance and intrusive thoughts and nightmares ("positive symptoms"). Irritability or anger was perceived as more controllable and personal than any other problem. Hostility was associated with less psychological understanding. EE (hostility) but not attributions was found to predict clinical outcome. The results are consistent with previous studies of relatives of schizophrenia patients. The study suggests a need for interventions, which focus on helping relatives to reappraise the impact of PTSD.     

An evaluation of intraverbal training and listener training for teaching categorization skills

The effects of vocal intraverbal training and listener training on the emergence of untrained categorization skills were evaluated. Five typically developing preschool children initially learned to name a number of previously unfamiliar visual stimuli. Each child then received one of two types of training. Intraverbal training involved reinforcing vocally emitted category names by the child in the presence of a spoken exemplar name. Listener training involved reinforcing the selection of visual stimuli by the child in the presence of a spoken category name. A multiple baseline design was used to evaluate the effects of training on each child's intraverbal category naming and stimulus selection. Pre- and posttests were used to assess additional emergent relations. Four of 5 participants did not demonstrate the emergence of any untrained relations. The current findings suggest that additional research is needed to determine the optimal sequencing of conditions in programs designed to teach categorization skills.     

不同认知方式个体图形一致性判断过程中的ERP研究

使用ERP技术对选取的27名右利手大学生（场独立14名,场依存13名）在图形一致性判断过程中的ERP进行分析,结果表明：1）在图形一致性的判断任务中,场依存者的前额叶与中央区在200ms之前的N85与P160峰-峰之差明显大于场独立者,在枕叶区的负波N120波幅明显高于场独立者,这说明场依存者在对图形一致性比较的视觉信息处理的早期阶段即进行了更深度的加工。2）场独立者的N290波幅高于场依存者,而N290潜伏期比场依存者明显的长,这说明场独立者在后期对图形进行了更深入的分析比对。     

面孔知觉中面孔性别与情绪表情的相互作用

面孔知觉中, 面孔性别与表情的加工有不同的机制。Bruce和Young (1986)及Haxby, Hoffman和Gobbini (2000)的面孔知觉理论虽然对表情加工也较为关注, 但对面孔性别加工机制的解释却较少, 也未能明确面孔性别与表情的相互关系。当前关于两者是否独立加工尚无明确结论, 但更多证据支持它们相互影响。我们认为, Garner范式下面孔性别与表情加工的研究可能忽略了面孔熟悉性因素。同时, 面孔适应范式为该研究领域提供了新的思路。此外, 文章对于两者相互作用的机制也进行了一定的探讨。     

Rich deontic logic: a preliminary study

This paper begins the development of new types of deontic operators, particularly ones whose semantic characterization is based on models with forward-branching time. In such models, supplemented by a choice function to model human agency, and an obligation function to introduce normative features, it is possible to develop a rich language with a variety of obligation operators, differing from one another in how they relate to time, and to the causal conditions, the causal consequences, and the logical consequences of actions. We approach these concepts making extensive use of the notion of a transition, as introduced in [M. Xu, Synthese 112 (1997) 137].