Neural correlates of task switching in paternal 15q11-q13 deletion Prader-Willi syndrome

We report a first study of brain activity linked to task switching in individuals with Prader-Willi syndrome (PWS) PWS individuals show a specific cognitive deficit in task switching which may be associated with the display of temper outbursts and repetitive questioning The performance of participants with PWS and typically developing controls was matched in a cued task switching procedure and brain activity was contrasted on switching and non switching blocks using SARI Individuals with PWS did not show the typical frontal-parietal pattern of neural activity associated with switching blocks, with significantly reduced activation in regions of the posterior parietal and ventromedial prefrontal cortices We suggest that this is linked to a difficulty in PWS in setting appropriate attentional weights to enable task set reconfiguration In addition to this, PWS individuals did not show the typical pattern of deactivation, with significantly less deactivation in an anterior region of the ventromedial prefrontal cortex One plausible explanation for this is that individuals with PWS show dysfunction within the default mode network which has been linked to attentional control The data point to functional changes in the neural circuitry supporting task switching in PWS even when behavioural performance is matched to controls and thus highlight neural mechanisms that may be involved in a specific pathway between genes cognition and behaviour (C) 2010 Elsevier B V All rights reserved

The development of the experience and anticipation of regret

Although recent studies have established that children experience regret from around 6 years, we do not yet know when the ability to anticipate this emotion emerges, despite the importance of the anticipation of regret in decision-making. We examined whether children will anticipate they will feel regret if they were to find out in a box-choosing game that, had they made a different choice, they would have obtained a better prize. Experiment 1 replicated Guttentag and Ferrell’s study in which children were asked what they hoped was in a non-chosen box. Even 8- to 9-year olds find this question difficult. However, when asked what might make them feel sadder, 7- to 8-year olds (but not younger children) predicted that finding the larger prize in the unchosen box would make them feel this way. In Experiments 2 and 3, children predicted how they would feel if the unchosen box contained either a larger or smaller prize, in order to examine anticipation of both regret and of relief. Although 6- to 7-year olds do experience regret when they find out they could have won a better prize, they do not correctly anticipate feeling this way. By around 8 years, the majority of children are able to anticipate both regret and relief.

Temporal and statistical information in causal structure learning

Three experiments examined children’s and adults’ abilities to use statistical and temporal information to distinguish between common cause and causal chain structures. In Experiment 1, participants were provided with conditional probability information and/or temporal information and asked to infer the causal structure of a three-variable mechanical system that operated probabilistically. Participants of all ages preferentially relied on the temporal pattern of events in their inferences, even if this conflicted with statistical information. In Experiments 2 and 3, participants observed a series of interventions on the system, which in these experiments operated deterministically. In Experiment 2, participants found it easier to use temporal pattern information than statistical information provided as a result of interventions. In Experiment 3, in which no temporal pattern information was provided, children from 6-7 years, but not younger children, were able to use intervention information to make causal chain judgments, although they had difficulty when the structure was a common cause. The findings suggest that participants, and children in particular, may find it more difficult to use statistical information than temporal pattern information because of its demands on information processing resources. However, there may also be an inherent preference for temporal information.

Dialogicality in university classroom talk

University classroom talk is a collaborative struggle to make meaning. Taking the perspectival nature of interaction as central, this paper presents an investigation of the genre of spoken academic discourse and in particular the types of activities which are orientated to the goal of collaborative ideas or tasks, such as seminars, tutorials, workshops. The purpose of the investigation was to identify examples of dialogicality through an examination of stance-taking. The data used in this study is a spoken corpus of academic English created from recordings of a range of subject discipline classrooms at a UK university. A frequency-based approach to recurrent word sequences (lexical bundles) was used to identify signals of epistemic and attitudinal stance and to initiate an exploration of the features of elaboration. Findings of quantitative and qualitative analyses reveal some similarities and differences between this study and those of US based classroom contexts in relation to the use and frequency of lexical bundles. Findings also highlight the process that elaboration plays in grounding perspectives and negotiating alignment of interactants. Elaboration seems to afford the space for the enactment of student stance in relation to the tutor embodiment of discipline knowledge.

Interpreting pedestrian behaviour by visualising and clustering movement data

Recent technological advances have increased the quantity of movement data being recorded. While valuable knowledge can be gained by analysing such data, its sheer volume creates challenges. Geovisual analytics, which helps the human cognition process by using tools to reason about data, offers powerful techniques to resolve these challenges. This paper introduces such a geovisual analytics environment for exploring movement trajectories, which provides visualisation interfaces, based on the classic space-time cube. Additionally, a new approach, using the mathematical description of motion within a space-time cube, is used to determine the similarity of trajectories and forms the basis for clustering them. These techniques were used to analyse pedestrian movement. The results reveal interesting and useful spatiotemporal patterns and clusters of pedestrians exhibiting similar behaviour.

AgentSpeak+: AgentSpeak with Probabilistic Planning

AgentSpeak is a logic-based programming language, based on the Belief-Desire-Intention (BDI) paradigm, suitable for building complex agent-based systems. To limit the computational complexity, agents in AgentSpeak rely on a plan library to reduce the planning problem to the much simpler problem of plan selection. However, such a plan library is often inadequate when an agent is situated in an uncertain environment. In this paper, we propose the AgentSpeak+ framework, which extends AgentSpeak with a mechanism for probabilistic planning. The beliefs of an AgentSpeak+ agent are represented using epistemic states to allow an agent to reason about its uncertain observations and the uncertain effects of its actions. Each epistemic state consists of a POMDP, used to encode the agent’s knowledge of the environment, and its associated probability distribution (or belief state). In addition, the POMDP is used to select the optimal actions for achieving a given goal, even when facing uncertainty.

Three Types of Temporal Perspective: Characterizing Developmental Changes in Temporal Thought

This paper provides an outline of the development of temporal thinking that is underpinned by the idea that temporal cognition shifts from being event dependent to event independent over the preschool period. I distinguish between three different ways in which it may be possible to have a perspective on time: (1) a perspective that is grounded in script-like representations of repeated events; (2) a more sophisticated perspective that brings in an fundamental categorical distinction between events that have already happened and events that are yet to come; and (3) a mature temporal perspective that involves orienting oneself in time using a linear temporal framework, with a grasp of the distinctions between past, present, and future. I propose that, with development, children possess each of these types of perspective in turn, and that only the last of these involves being able to represent time in an event-independent way.

Metacognition in Patient Safety

OBJECTIVES: To determine if cognitive reflection has a positive influence on clinical decision making in undergraduate medical students. METHODS: 153 final year undergraduate medical students completed a 3 hour interactive Safe Thinking Workshop on nontechnical skills and patient safety, incorporating an introduction to metacognitive concepts. All students underwent augmented Cognitive Reflective Testing during the workshop. Students then inspected and interpreted a set of arterial blood gas results relating to a patient with acute respiratory distress, then answered a short questionnaire addressing biochemical diagnosis, clinical diagnosis and effective management. A separate question was embedded in the questionnaire to determine if astute students could determine the severity of the illness. The study group (n = 78) completed the questionnaire immediately after the Safe Thinking Workshop, whilst the control group (n = 75) completed the questionnaire prior to the Workshop.RESULTS: The mean total score for study students was 80.51%, with a mean total score of 57.9% for the control group (t-test; p<0.05). Correct classification of illness severity was observed in 13.2% of study students, compared with 4.1% of control students (p<0.05). CONCLUSION: These results suggest that clinical decision making and recognition of illness severity can be enhanced by specific teaching in nontechnical skills, metacognitiion and cognitive reflection.

Probabilistic Inference in Credal Networks: New Complexity Results

Credal networks are graph-based statistical models whose parameters take values in a set, instead of being sharply specified as in traditional statistical models (e.g., Bayesian networks). The computational complexity of inferences on such models depends on the irrelevance/independence concept adopted. In this paper, we study inferential complexity under the concepts of epistemic irrelevance and strong independence. We show that inferences under strong independence are NP-hard even in trees with binary variables except for a single ternary one. We prove that under epistemic irrelevance the polynomial-time complexity of inferences in credal trees is not likely to extend to more general models (e.g., singly connected topologies). These results clearly distinguish networks that admit efficient inferences and those where inferences are most likely hard, and settle several open questions regarding their computational complexity. We show that these results remain valid even if we disallow the use of zero probabilities. We also show that the computation of bounds on the probability of the future state in a hidden Markov model is the same whether we assume epistemic irrelevance or strong independence, and we prove an analogous result for inference in Naive Bayes structures. These inferential equivalences are important for practitioners, as hidden Markov models and Naive Bayes networks are used in real applications of imprecise probability.

Harmful transgressions qua moral transgressions: A deflationary view

One important issue in moral psychology concerns the proper characterization of the folk understanding of the relationship between harmful transgressions and moral transgressions. Psychologist Elliot Turiel and associates have claimed with a broad range of supporting evidence that harmful transgressions are understood as transgressions that are authority independent and general in scope, which, according to them, characterizes these transgressions as moral transgressions. Recently, many researchers questioned the position advocated by the Turiel tradition with some new evidence. We entered this debate proposing an original, deflationary view in which perceptions of basic-rights violation and injustice are fundamental for the folk understanding of harmful transgressions as moral transgressions in Turiel’s sense. In this article, we elaborate and refine our deflationary view, while reviewing the debate, addressing various criticisms raised against our perspective, showing how our perspective explains the existent evidence, and suggesting new lines of inquiry.

Can(Plan)+: Extending the Operational Semantics of the BDI Architecture to deal with Uncertain Information

The BDI architecture, where agents are modelled based on their beliefs, desires and intentions, provides a practical approach to develop large scale systems. However, it is not well suited to model complex Supervisory Control And Data Acquisition (SCADA) systems pervaded by uncertainty. In this paper we address this issue by extending the operational semantics of Can(Plan) into Can(Plan)+. We start by modelling the beliefs of an agent as a set of epistemic states where each state, possibly using a different representation, models part of the agent's beliefs. These epistemic states are stratified to make them commensurable and to reason about the uncertain beliefs of the agent. The syntax and semantics of a BDI agent are extended accordingly and we identify fragments with computationally efficient semantics. Finally, we examine how primitive actions are affected by uncertainty and we define an appropriate form of lookahead planning.