Augustinian universalism

International Journal for Philosophy of Religion -     

Using Implementation Intentions in Shopping Situations: How Arousal Can Help Shield Consumers Against Temptation

Previous research has suggested that individuals who repeatedly experience self‐regulatory failure in purchasing behaviour have trouble shielding themselves against temptations. Because shopping is often accompanied by increased arousal, we examined whether attending to affective arousal could help people keep their attention focused. Before participants completed a visual distraction task embedded in a shopping context, we (i) instructed them to formulate an implementation intention with affective arousal as the eliciting cue and concentrating on the task as the intention; (ii) instructed them to formulate the goal intention of concentrating on the task without mentioning an eliciting cue; or (iii) gave them no further instructions. During the task, we recorded eye movements to measure the time they looked at the target products. The findings suggest that implementation intentions with affective arousal as an eliciting cue enable consumers who repeatedly perceive self‐regulatory failure to focus their attention on their initial shopping goal. Copyright © 2016 John Wiley & Sons, Ltd.     

Deviations in the emergence of representations: a neuroconstructivist framework for analysing developmental disorders

A common way of studying developmental disorders is to adopt a static neuropsychological deficit approach, in which the brain is characterized in terms of a normal brain with some parts or ‘modules’ impaired. In this paper we outline a neuroconstructivist approach in which developmental disorders are viewed as alternative developmental trajectories in the emergence of representations within neural networks. As a concrete instantiation of the assumptions underlying this general approach, we present a number of simulations in an artificial neural network model. The representations that emerge under different architectural, input and developmental timing conditions are then analysed within a multi‐dimensional state space. We explore alternative developmental trajectories in these simulations, demonstrating how initial differences in the same parameter can lead to very different outcomes, and conversely how different starting states can sometimes result in similar end states (phenotypes). We conclude that the assumptions of the neuroconstructivist approach are likely to be more appropriate for analysing developmental deviations in complex dynamic neural networks, such as the human brain.