Previous research suggests overlap between brain regions that show task-induced deactivations and those activated during the performance of social-cognitive tasks. Here, we present results of quantitative meta-analyses of neuroimaging studies, which confirm a statistical convergence in the neural correlates of social and resting state cognition. Based on the idea that both social and unconstrai...

This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

The ability to proactively offer assistance promises to make personal agents more helpful to their users. We characterize the properties desired of proactive behaviour by a personal assistant agent in the realm of task management, and present an extended agent cognition model that features a meta-level layer charged with identifying potentially helpful actions and determining when it is appropr...

This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

32 AI MAGAZINE ■ To construct a perpetual self-aware cognitive agent that can continuously operate with independence, an introspective machine must be produced. To assemble such an agent, it is necessary to perform a full integration of cognition (planning, understanding, and learning) and metacognition (control and monitoring of cognition) with intelligent behaviors. The failure to do this com...

This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

BACKGROUND Impairment in social cognition is an established finding in autism spectrum disorders (ASD). Emerging evidence suggests that attention-deficit/hyperactivity disorder (ADHD) might be also associated with deficits in theory of mind (ToM) and emotion recognition. However, there are inconsistent findings, and it has been debatable whether such deficits persist beyond childhood and how si...

Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure \PAE) to a broad range of long-term cognitive behavioral deficits. However, there is paucity evidence regarding the nature levels PAE associated with increased risk clinically significant To derive robust efficient estimates effects on function, we have developed hierarchical meta-analysis approach synt...

This study tests three hypotheses, predicting first that metacognition is highly correlated with anxiety and obsessive-compulsive (O-C) symptoms, second that it mediates the relationship between O-C symptoms and anxiety, and third that the meta-cognitive predictors of anxiety are different from the meta-cognitive predictors of O-C symptoms. The sample of the present study was 850 students selec...