Mechanisms of developmental change in infant categorization

Computational models are tools for testing mechanistic theories of learning and development. Formal models allow us to instantiate theories of cognitive development in computer simulations. Model behavior can then be compared to real performance. Connectionist models, loosely based on neural information processing, have been successful in capturing a range of developmental phenomena, in particular on-line within-task category learning by young infants. Here we describe two new models. One demonstrates how age dependent changes in neural receptive field sizes can explain observed changes in on-line category learning between 3 and 10 months of age. The other aims to reconcile two conflicting views of infant categorization by focusing on the different task requirements of preferential looking and manual exploration studies. A dual-memory hypothesis posits that within-task category learning that drives looking time behaviors is based on a fast-learning memory system, whereas categorization based on background experience and assessed by paradigms requiring complex motor behavior relies on a second, slow-learning system. The models demonstrate how emphasizing the mechanistic causes of behaviors leads to discovery of deeper, more explanatory accounts of learning and development.     

Changing unbalanced coping profiles-A prospective controlled intervention trial in worksite health promotion

Abstract

Effective coping is based upon a broad variety of available strategies and a good balance between instrumental and palliative coping efforts. Thus, stress management training (SMT) should focus on broadening and balancing individual coping-profiles. This study investigated changes in coping profiles after participation in SMT at the worksite. The sample consisted of 82 healthy working persons who participated in a 12-week-SMT and 55 matched controls without intervention. The SMT consisted of six training elements: three of them (assertiveness, cognitive restructuring and time management) addressed instrumental coping and the other three (relaxation, physical activity and scheduling of pleasant activities) focussed on palliative coping. All subjects filled in standardized questionaires on coping, well-being and strain before and after the training. Cluster analyses performed on initial coping scores resulted in a 3-cluster solution: (1) “active flexible coping” (n = 53), (2) “problem-focused coping” (n = 40) and (3) “resignative avoidant coping” (n = 44). Analyses of covariance revealed that SMT-participants of Cluster 2 showed significant improvements regarding emotion-focused coping and those of Cluster 3 regarding problem-focused coping compared to controls of the same cluster. There were also significant associations between these clusterspecific changes of coping and improvements of well-being. In consequence, the SMT improved coping by supplementing one-sided initial coping-profiles.     

Postmodern reflections on modern psychiatry: The diagnostic and statistical manual of mental disorders

This article found elevated levels of trauma symptoms related to the terrorist attacks of 9/11 in students at a university in Northern California. In an analogue comparison, the impact on trauma symptoms of 2 interventions—journal writing and story listening—was examined. College students were randomly assigned to write about their emotional reactions to 9/11 or to listen to stories evoking themes relevant to the national tragedy. Participants in both conditions reported significant improvements in trauma symptoms on the final day of each condition. Students with prior bereavement had greater improvements in trauma symptoms on 1 measure in the story listening condition. The implications of these findings for the use of exposure-based interventions in the treatment of trauma are discussed.     

Enacting Actuarial Fairness in Insurance: From Fair Discrimination to Behaviour-based Fairness

ABSTRACT

In line with developments in the personalisation of risk, the idea that insurance products should above all be ‘fair’ to the policyholders is increasingly voiced by commentators. The performativity thesis in Science and Technology Studies usually used to study economic markets can be used to investigate different enactments of ‘actuarial fairness’ in insurance practice. Actuarial fairness functions as a technical economic concept and was coined by the neoclassical micro-economist Kenneth Arrow (1921–2017). Faced with anti-discrimination legislation, the insurance industry has, since the 1980s, advanced the principle of actuarial fairness to legitimise their medico-actuarial technologies to discriminate between risk groups. In the absence of this actuarial fairness, it is assumed that dynamics of adverse selection—derived from neoclassical assumptions about economic actors— will result in the bankruptcy of insurance providers. The paradigmatic case of Fairzekering, a showcase of contemporary behaviour-based personalisation in car insurance, demonstrates an important shift in how actuarial fairness is enacted through behaviour-based calculative devices. Here, policyholders are enacted as being personally in control of their driving style while an interactive discount-infrastructure is set up to provide real-time feedback to incentivize policyholders towards ‘good behaviour.’ This enactment of behaviour-based fairness simultaneously implies a shift in the enactment of the economic actors involved, constitutive of the making of new economic ideas in behavioural economics.     

Retention of autobiographical memories: An Internet-based diary study

In this online study we examined the retention of recent personal events using an Internet-based diary technique. Each participant (N=878) recorded on a website one recent personal event and was contacted after a retention interval that ranged between 2 and 46 days. We investigated how well the participants could recall the content, time, and details of their recorded event. We found a classic retention function. Details of the events were forgotten more rapidly than the content and the time of the events. There were no differences between the forgetting rates of the “who”, “what” and “where” elements of the content component. Reminiscing, social sharing, pleasantness, and frequency of occurrence aided recall, but surprisingly importance and emotionality did not. They were, however, strongly associated with reminiscing and social sharing.     

Quality spaces: Mental and physical

Perceptual-role theories of mental qualities hold that we can discover the nature of a being’s mental qualities by investigating that being’s capacity to make perceptual discriminations. Many advocates of perceptual-role theories hold that the best explanation of these capacities is that mental quality spaces are homomorphic to the spaces of the physical properties that they help to discriminate. This paper disputes this thesis on largely empirical grounds, and offers an alternative. The alternative explains interesting patterns in our perception of color differences and similarities across edges, emphasizing the importance of visual discontinuities. Further, it provides a simple explanation of the intransitivity of indiscriminability. The homomorphism thesis can explain this intransitivity only with the addition of an independently unsupported empirical hypothesis. Also, in contrast to the homomorphism thesis, the alternative view is perfectly consistent with empirical data that suggest (a) that the visual system uses the dynamic allocation of a limited range of responses in order to discriminate a wider range of physical stimuli and (b) that we are much better at detecting changes in relative luminance than changes in absolute luminance. Moreover, it does all this while using a more efficient strategy for encoding sensory information.     

The Ignorant Citizen: Mouffe,Rancière,and the Subject of Democratic Education

Much work in the field of education for democratic citizenship is based on the idea that it is possible to know what a good citizen is, so that the task of citizenship education becomes that of the production of the good citizen. In this paper I ask whether and to what extent we can and should understand democratic citizenship as a positive identity. I approach this question by means of an exploration of four dimensions of democratic politics—the political community, the borders of the political order, the dynamics of democratic processes and practices, and the status of the democratic subject—in order to explore whether and to what extent the ‘essence’ of democratic politics can and should be understood as a particular order. For this I engage with ideas from Chantal Mouffe and Jacques Rancière who both have raised fundamental questions about the extent to which the ‘essence’ of democratic politics can be captured as a particular order. In the paper I introduce the figure of the ignorant citizen in order to hint at a conception of citizenship that is not based on particular knowledge about what the good citizen is. I introduce a distinction between a socialisation conception of citizenship education and civic learning and a subjectification conception of citizenship education and civic learning in order to articulate what the educational implications of such an ‘anarchic’ understanding of democratic politics are. While the socialisation conception focuses on the question how ‘newcomers’ can be inserted into an existing political order, the subjectification conception focuses on the question how democratic subjectivity is engendered through engagement in always undetermined political processes. This is no longer a process driven by knowledge about what the citizen is or should become but one that depends on a desire for a particular mode of human togetherness or, in short, a desire for democracy.     

Introduction to the special issue on formal modeling of semantic concepts

We introduce the special issue on formal models of semantic concepts. After outlining the research questions that motivated the issue, we summarize the rich set of data provided by the Leuven Natural Concepts Database, and provide an overview of the seven research articles in the special issue. Each of these articles applies a formal modeling approach to one or more parts of the database, attempting to further our understanding of how people represent and use semantic concepts.     

The shape of words in the brain

The principle of arbitrariness in language assumes that there is no intrinsic relationship between linguistic signs and their referents. However, a growing body of sound-symbolism research suggests the existence of some naturally-biased mappings between phonological properties of labels and perceptual properties of their referents (Maurer, Pathman, & Mondloch, 2006). We present new behavioural and neurophysiological evidence for the psychological reality of sound-symbolism. In a categorisation task that captures the processes involved in natural language interpretation, participants were faster to identify novel objects when label–object mappings were sound-symbolic than when they were not. Moreover, early negative EEG-waveforms indicated a sensitivity to sound-symbolic label–object associations (within 200 ms of object presentation), highlighting the non-arbitrary relation between the objects and the labels used to name them. This sensitivity to sound-symbolic label–object associations may reflect a more general process of auditory–visual feature integration where properties of auditory stimuli facilitate a mapping to specific visual features.     

Abstraction and model evaluation in category learning

Thirty previously published data sets, from seminal category learning tasks, are reanalyzed using the varying abstraction model (VAM). Unlike a prototype-versus-exemplar analysis, which focuses on extreme levels of abstraction only, a VAM analysis also considers the possibility of partial abstraction. Whereas most data sets support no abstraction when only the extreme possibilities are considered, we show that evidence for abstraction can be provided using the broader view on abstraction provided by the VAM. The present results generalize earlier demonstrations of partial abstraction (Vanpaemel & Storms, 2008), in which only a small number of data sets was analyzed. Following the dominant modus operandi in category learning research, Vanpaemel and Storms evaluated the models on their best fit, a practice known to ignore the complexity of the models under consideration. In the present study, in contrast, model evaluation not only relies on the maximal likelihood, but also on the marginal likelihood, which is sensitive to model complexity. Finally, using a large recovery study, it is demonstrated that, across the 30 data sets, complexity differences between the models in the VAM family are small. This indicates that a (computationally challenging) complexity-sensitive model evaluation method is uncalled for, and that the use of a (computationally straightforward) complexity-insensitive model evaluation method is justified.