A unified framework for interpreting a range of motivation-performance phenomena

Effects of motivation on cognition and performance have been found empirically in different fields. However, the relationship between motivation and performance seems complex and multi-faceted. While seemingly inconsistent or incompatible studies and theories of different disciplinary origins exist in this regard, we show that many of them can potentially be synthesized. Simulations within a unifying computational cognitive architecture account for empirical phenomena from different studies, which demonstrate that a mechanistic (computational) account can potentially unify the interpretations of these studies, largely based on utility calculation from intrinsic motives, and allow for further, more detailed explorations.     

Towards autonomous artificial agents with an active self: Modeling sense of control in situated action

In this paper we present a computational modeling account of an active self in artificial agents. In particular we focus on how an agent can be equipped with a sense of control and how it arises in autonomous situated action and, in turn, influences action control. We argue that this requires laying out an embodied cognitive model that combines bottom-up processes (sensorimotor learning and fine-grained adaptation of control) with top-down processes (cognitive processes for strategy selection and decision-making). We present such a conceptual computational architecture based on principles of predictive processing and free energy minimization. Using this general model, we describe how a sense of control can form across the levels of a control hierarchy and how this can support action control in an unpredictable environment. We present an implementation of this model as well as first evaluations in a simulated task scenario, in which an autonomous agent has to cope with un-/predictable situations and experiences corresponding sense of control. We explore different model parameter settings that lead to different ways of combining low-level and high-level action control. The results show the importance of appropriately weighting information in situations where the need for low/high-level action control varies and they demonstrate how the sense of control can facilitate this.     

A Probabilistic and Individualized Approach for Predicting Treatment Gains: An Extension and Application to Anxiety Disordered Youth

The objective of this study was to extend the probability of treatment benefit method by adding treatment condition as a stratifying variable, and illustrate this extension of the methodology using the Child and Adolescent Anxiety Multimodal Study data. The probability of treatment benefit method produces a simple and practical way to predict individualized treatment benefit based on pretreatment patient characteristics. Two pretreatment patient characteristics were selected in the production of the probability of treatment benefit charts: baseline anxiety severity, measured by the Pediatric Anxiety Rating Scale, and treatment condition (cognitive-behavioral therapy, sertraline, their combination, and placebo). We produced two charts as exemplars which provide individualized and probabilistic information for treatment response and outcome to treatments for child anxiety. We discuss the implications of the use of the probability of treatment benefit method, particularly with regard to patient-centered outcomes and individualized decision-making in psychology and psychiatry.     

Understanding Liberals and Conservatives

It is helpful to teach students of religion and theology that it's not just the teachings and practices of a religion that are important, but the way in which these beliefs and practices are handled that's critical, whether in a liberal or a conservative way. Recent work in Cognitive Linguistics has helped pastors and religion teachers introduce this other dimension of their subject in new ways.     

Funciones ejecutivas y sintomatología asociada con los trastornos de la conducta alimentaria

Recent studies agree in that patients with Eating Disorders (ED) suffer from inefficiencies in Executive Functions as a consequence of the disease. In order to determine whether or not such inefficiencies make part of the endophenotype of ED—not that they result as a mere consequence of ED—69 women were evaluated: 23 diagnosed with ED, 23 with symptoms associated to ED and 23 women without any ED or risks for developing them. All participants were administered the Eating Attitude Test (EAT -40), the Interview for Diagnosis of Eating Disorders-IV (IDED -IV), the Tower of London Test and the Wisconsin Card Sorting Test. The results showed inefficiencies in executive functions—specifically in planning and cognitive flexibility for both the analogous symptoms group and the diagnosed ED group. The findings suggest that these alterations could be present prior to the establishment of the ED, and that they can actually constitute a risk factor     

Infants’ ability to associate motion paths with object kinds

The goal of the present research was to examine whether infants associate different paths of motion with animate beings and inanimate objects. An infant-controlled habituation procedure was used to examine 10–20-month-old infants’ ability to associate a non-linear motion path (jumping) with animals and a linear (rebounding) motion path with vehicles (Experiment 1) and furniture (Experiment 2). During the habituation phase, infants saw a dog jumping over a barrier and either a vehicle or a piece of furniture rebounding off the barrier. In the test phase, infants looked longer when another inanimate object jumped rather than rebounded, but showed no such differential looking in the case of another animate object. The ability to restrict the animate motion path of jumping to animate beings was present by 10 months of age. The present findings support the hypothesis that motion path is associated with the animate–inanimate distinction early in infancy.     

Unraveling Brain Functional Connectivity of encoding and retrieval in the context of education

Human memory is an enigmatic component of cognition which many researchers have attempted to comprehend. Accumulating studies on functional connectivity see brain as a complex dynamic unit with positively and negatively correlated networks in perfect coherence during a task. We aimed to examine coherence of network connectivity during visual memory encoding and retrieval in the context of education. School Educated (SE) and College Educated (CE) healthy volunteers (n = 60) were recruited and assessed for visual encoding and retrieval. Functional connectivity using seed to voxel based connectivity analysis of the posterior cingulate cortex (PCC) was evaluated. We noticed that there were reciprocal dynamic changes in both dorsolateral prefrontal cortex (DLPFC) region and PCC regions during working memory encoding and retrieval. In agreement with the previous studies, there were more positively correlated regions during retrieval compared to encoding. The default mode network (DMN) networks showed greater negative correlations during more attentive task of visual encoding. In tune with the recent studies on cognitive reserve we also found that number of years of education was a significant factor influencing working memory connectivity. SE had higher positive correlation to DLPFC region and lower negative correlation to DMN in comparison with CE during encoding and retrieval.