Causal competition based on generic priors

Although we live in a complex and multi-causal world, learners often lack sufficient data and/or cognitive resources to acquire a fully veridical causal model. The general goal of making precise predictions with energy-efficient representations suggests a generic prior favoring causal models that include a relatively small number of strong causes. Such “sparse and strong” priors make it possible to quickly identify the most potent individual causes, relegating weaker causes to secondary status or eliminating them from consideration altogether. Sparse-and-strong priors predict that competition will be observed between candidate causes of the same polarity (i.e., generative or else preventive) even if they occur independently. For instance, the strength of a moderately strong cause should be underestimated when an uncorrelated strong cause also occurs in the general learning environment, relative to when a weaker cause also occurs. We report three experiments investigating whether independently-occurring causes (either generative or preventive) compete when people make judgments of causal strength. Cue competition was indeed observed for both generative and preventive causes. The data were used to assess alternative computational models of human learning in complex multi-causal situations.     

Le rôle de la stigmatisation dans la symptomatologie dépressive de femmes françaises en surpoids ou en situation d’obésité

IntroductionDespite the high prevalence of depressive symptoms among women being overweight or having obesity, the role of stigma and causal attributions in the expression of these symptoms in French women has been largely under-explored to date.ObjectiveThe aim of this research is to study the role of internalized stigmatization, stigmatizing experiences and causal attribution in the intensity of depressive symptoms in overweight and obese French women.MethodThese four variables were measured in 160 French women being overweight or having obesity.ResultsOur analyses highlight positive correlations between stigmatizing experiences, internalized stigmatization and depressive symptomatology. It is important to note that stigmatizing experiences seem to play a more preponderant role than internalized stigmatization in the expression of depressive symptoms.ConclusionFor women with significant depressive symptoms, it appears essential to integrate interventions aimed at reducing their level of stigma. Moreover, from a preventive perspective, it also seems essential to promote campaigns in France aimed at reducing the stigmatization in this population.     

The Accuracy of Causal Learning Over Long Timeframes: An Ecological Momentary Experiment Approach

The ability to learn cause–effect relations from experience is critical for humans to behave adaptively — to choose causes that bring about desired effects. However, traditional experiments on experience-based learning involve events that are artificially compressed in time so that all learning occurs over the course of minutes. These paradigms therefore exclusively rely upon working memory. In contrast, in real-world situations we need to be able to learn cause–effect relations over days and weeks, which necessitates long-term memory. 413 participants completed a smartphone study, which compared learning a cause–effect relation one trial per day for 24 days versus the traditional paradigm of 24 trials back- to- back. Surprisingly, we found few differences between the short versus long timeframes. Subjects were able to accurately detect generative and preventive causal relations, and they exhibited illusory correlations in both the short and long timeframe tasks. These results provide initial evidence that experience-based learning over long timeframes exhibits similar strengths and weaknesses as in short timeframes. However, learning over long timeframes may become more impaired with more complex tasks.     

Which one made it go? The emergence of diagnostic reasoning in preschoolers

We evaluate the hypothesis that children's diagnostic causal reasoning becomes more sophisticated as their understanding of uncertainty advances. When the causal status of candidate causes was known, 3- and 4-year-olds were capable of diagnostic inference (Experiment 1) and could revise their beliefs when told their initial diagnosis was incorrect (Experiment 2). In Experiments 3 and 4, only 4-year-olds made successful inferences when the causal status of candidate causes was uncertain. The results suggest that by age 3, children appreciate that an effect can have multiple candidate causes, but it is not until age 4 that they begin to reason correctly when the causal status of candidate causes is unknown.     

Social support,coping, and depressive symptoms in cardiac illness among Hispanic and non-Hispanic White cardiac patients

In Multi-Trait Multi-Method (MTMM) studies of causal attributions for laboratory events, there is little evidence of convergent and discriminant validity for attribution measures. We report the first MTMM study to investigate the validity of two methods of eliciting causal beliefs for an illness, specifically, myocardial infarction. Adult respondents (N?=?107) listed causes of MI, then completed questionnaire rating scales for causal beliefs for MI. Measures were compared using both Campbell and Fiske's approach to MTMM analyses, and a Confirmatory Factor Analysis approach. Neither single item measures causal beliefs, nor scales of causal beliefs derived using exploratory factor analysis provided much evidence of convergent and discriminant validity. Confirmatory factor analysis showed that a model containing only causal belief factors provided a moderately good fit to the data. Adding a questionnaire method factor significantly improved the fit of the model, as well as substantially changing the pattern of factor loadings: loadings of questionnaire items on causal belief factors were markedly reduced. These results highlight major problems with the measurement of causal beliefs, and in particular question the validity of factor analysis of questionnaire measures of causal beliefs. They also suggest that at least some of the MI causal belief factors reported in the literature are artefacts of common questionnaire method variance.     

The Causal Closure of Physics: An Explanation and Critique

Bistable, autonomously growing and self‐maintaining dynamical systems possess a new mathematical and applicational aspect: they can switch toward (physical) existence. Larger dynamical systems containing such flip‐flops as subsystems are frequent. The mathematical prototype is a special type of Z₂‐networks, termed a competence automaton. A chemical implementation is the ‘magic soup.’ It constitutes a general model for life‐type evolution processes including economic evolution.     

The selective power of causality on memory errors

We tested the influence of causal links on the production of memory errors in a misinformation paradigm. Participants studied a set of statements about a person, which were presented as either individual statements or pairs of causally linked statements. Participants were then provided with causally plausible and causally implausible misinformation. We hypothesised that studying information connected with causal links would promote representing information in a more abstract manner. As such, we predicted that causal information would not provide an overall protection against memory errors, but rather would preferentially help in the rejection of misinformation that was causally implausible, given the learned causal links. In two experiments, we measured whether the causal linkage of information would be generally protective against all memory errors or only selectively protective against certain types of memory errors. Causal links helped participants reject implausible memory lures, but did not protect against plausible lures. Our results suggest that causal information may promote an abstract storage of information that helps prevent only specific types of memory errors.     

Visual impressions of forces between objects: Entraining,enforced disintegration,and shattering

When a moving object (A) contacts a stationary one (B) and Object B then moves, visual impressions of force occur along with a visual impression of causality. It is shown that findings about force impressions that occur with launching effect stimuli generalize to other forms of phenomenal causality, namely entraining, enforced disintegration, and shattering stimuli. In particular, evidence is reported for generality of the force asymmetry, in which the amount of perceived force exerted by Object A is greater than the amount of perceived resistance put up by Object B. Effects of manipulations of kinematic variables also resembled those found in previous experiments. Some unpredicted findings occurred. It is argued that these reflect a change in perceptual interpretation when both objects are in motion prior to contact, due to both objects being perceived as in autonomous motion. The results are consistent with a theoretical account in which force impressions occur by a process of matching kinematic information in visual stimuli to stored representations of actions on objects, which supply information about forces.     

Les soignants face au burnout : quelles attributions causales ?

The objective of this study was to investigate the nature of the explanations produced by nurses when they are questioned about professional situations related with professional exhaustion such as burnout (BO), independently of a real-life situation of BO. The analysis of the 30 nurses’ adherences to causal explanations scale constructed and validated for this purpose showed greater adherence to internal causal explanations, both controllable and non-controllable, as explanations under external causalities, whatever the professional situation mentioned. The discussion focuses on the relevance of a psychosocial approach of explanations of the BO situations and its implications in terms of primary prevention of psychosocial risks in occupational context.