Interventions for drug abuse and other maladaptive habitual behaviors may yield temporary success, but are often fragile and relapse is common. This implies that current interventions do not erase or substantially modify the representations that support the underlying addictive behavior — that is, they do not cause true unlearning. One example of an intervention that fails to induce true unlear...

Age-related deficits are seen across tasks where learning depends on asocial feedback processing, however plasticity has been observed in some of the same tasks in social contexts suggesting a novel way to attenuate deficits. Socioemotional selectivity theory suggests this plasticity is due to a deliberative motivational shift toward achieving wellbeing with age (positivity effect) that reverse...

Although Attention-Deficit Hyperactivity Disorder (ADHD) is closely linked to executive function deficits, it has recently been attributed to procedural learning impairments that are quite distinct from the former. These observations challenge the ability of the executive function framework solely to account for the diverse range of symptoms observed in ADHD. A recent neurocomputational model e...

OBJECTIVE Developmental dyslexia is presumed to arise from specific phonological impairments. However, an emerging theoretical framework suggests that phonological impairments may be symptoms stemming from an underlying dysfunction of procedural learning. METHOD We tested procedural learning in adults with dyslexia (n = 15) and matched-controls (n = 15) using 2 versions of the weather predict...

The evidence is now good that different memory systems mediate the learning of different types of category structures. In particular, declarative memory dominates rule-based (RB) category learning and procedural memory dominates information-integration (II) category learning. For example, several studies have reported that feedback timing is critical for II category learning, but not for RB cat...

We present a method for controlling the output of procedural modeling programs using Sequential Monte Carlo (SMC). Previous probabilistic methods for controlling procedural models use Markov Chain Monte Carlo (MCMC), which receives control feedback only for completely-generated models. In contrast, SMC receives feedback incrementally on incomplete models, allowing it to reallocate computational...

Background: Evaluation is one of the most important aspects of medical education. Thus, new methods of effective evaluation are required in this area, and direct observation of procedural skills (DOPS) is one of these methods. This study was conducted to systematically review the evidence involved in this type of assessment to allow the effective use of this method.    Methods: Data ...

This study examines the effects of procedural justice perceptions on outcomes in an actual selection context with applicants taking a general mental ability test to gain employment as utility meter readers. Applicant attraction and intention related to the organization were measured at 3 time periods. This allowed us to control for initial levels of outcome variables and the pass–fail result wh...

Exercises in mathematics are often solved using a standard procedure, such as for example solving a system of linear equations by subtracting equations from top to bottom, and then substituting variables from bottom to top. Students have to practice such procedural skills: they have to learn how to apply a particular strategy to an exercise. E-learning systems offer excellent possibilities for ...