The role of midfrontal theta oscillations across the development of cognitive control in preschoolers and school‐age children

The development of cognitive control enables children to better resist acting based on distracting information that interferes with the current action. Cognitive control improvement serves different functions that differ in part by the type of interference to resolve. Indeed, resisting to interference at the task‐set level or at the response‐preparation level is, respectively, associated with cognitive flexibility and inhibition. It is, however, unknown whether the same neural mechanism underlies these two functions across development. Studies in adults have revealed the contribution of midfrontal theta (MFT) oscillations in interference resolution. This study investigated whether MFT is involved in the resolution of different types of interference in two age groups identified as corresponding to different latent structures of executive functions. Preschool (4–6 years) and school children (6–8 years) were tested with a task involving interference at the response level and/or the task‐set level while (electroencephalogram) EEG was recorded. Behaviorally, response time and accuracy were affected by task‐set. Both age groups were less accurate when the interference occurred at the task‐set level and only the younger group showed decreased accuracy when interference was presented at the response‐preparation level. Furthermore, MFT power was increased, relative to the baseline, during the resolution of both types of interference and in both age groups. These findings suggest that MFT is involved in immature cognitive control (i.e., preschool and school‐ages), by orchestrating its different cognitive processes, irrespective of the interference to resolve and of the level of cognitive control development (i.e., the degree of differentiation of executive functions).     

Mapping differential responses to cognitive training using machine learning

We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self‐organizing maps (SOMs)—a type of simple artificial neural network—to represent multivariate cognitive training data, and then tested whether the way tasks are represented changed as a result of training. The patterns of change we observed in the SOM weight matrices implied that the processes drawn upon to perform WM tasks changed following training. This was then combined with K‐means clustering to identify distinct groups of children who respond to the training in different ways. Firstly, the K‐means clustering was applied to an independent large sample (N = 616, M_age = 9.16 years, range = 5.16–17.91 years) to identify subgroups. We then allocated children who had been through cognitive training (N = 179, M_age = 9.00 years, range = 7.08–11.50 years) to these same four subgroups, both before and after their training. In doing so, we were able to map their improvement trajectories. Scores on a separate measure of fluid intelligence were predictive of a child's improvement trajectory. This paper provides an alternative approach to analysing cognitive training data that go beyond considering changes in individual tasks. This proof‐of‐principle demonstrates a potentially powerful way of distinguishing task‐specific from domain‐general changes following training and of establishing different profiles of response to training.     

Toward ethical cognitive architectures for the development of artificial moral agents

New technologies based on artificial agents promise to change the next generation of autonomous systems and therefore our interaction with them. Systems based on artificial agents such as self-driving cars and social robots are examples of this technology that is seeking to improve the quality of people’s life. Cognitive architectures aim to create some of the most challenging artificial agents commonly known as bio-inspired cognitive agents. This type of artificial agent seeks to embody human-like intelligence in order to operate and solve problems in the real world as humans do. Moreover, some cognitive architectures such as Soar, LIDA, ACT-R, and iCub try to be fundamental architectures for the Artificial General Intelligence model of human cognition. Therefore, researchers in the machine ethics field face ethical questions related to what mechanisms an artificial agent must have for making moral decisions in order to ensure that their actions are always ethically right. This paper aims to identify some challenges that researchers need to solve in order to create ethical cognitive architectures. These cognitive architectures are characterized by the capacity to endow artificial agents with appropriate mechanisms to exhibit explicit ethical behavior. Additionally, we offer some reasons to develop ethical cognitive architectures. We hope that this study can be useful to guide future research on ethical cognitive architectures.     

Resistance and outcome expectations in cognitive‐behavioural therapy for generalised anxiety disorder

Greater client resistance has been consistently found to be negatively associated with outcome in psychotherapy. However, the pathways through which resistance impacts such outcomes are underexplored. Given that client outcome expectation (OE) has been identified as an important common factor in psychotherapy, the goals of the present study were to examine: (a) the impact of resistance on subsequent client and therapist OE (COE & TOE, respectively); and (b) whether COE and/or TOE mediate the relationship between resistance and outcome. These relationships were tested among 44 clients with severe generalised anxiety disorder treated with cognitive‐behavioural therapy in the context of a randomised controlled trial (Westra, Constantino, & Antony, 2016). Resistance was measured at a mid‐treatment session, and COE and TOE were assessed at baseline and immediately after the resistance session. Treatment outcome was measured via client‐rated worry severity at post‐treatment. As predicted, higher resistance was associated with lower subsequent COE and TOE; B = ?.73, p < .001 and B = ?.46, p < .001, respectively. In turn, lower post‐resistance COE predicted higher post‐treatment worry (B = ?.5, p < .001), indicating mediation. In contrast, TOE did not mediate the relationship between resistance and outcome (B = ?.02, p = .876). These results suggest that resistance can be demoralising to both clients and therapists. However, only lower client morale may be detrimental to therapy outcome. This study contributes to understanding outcome pathways through two common therapy processes.     

How serious a fallacy is inconsistency?

Consistency is often pictured as an indispensable requisite for rationality. The paper argues that this is overly rigoristic. Inconsistency can be treated as a matter of isolable singularities rather than an all-destructive disaster. The paper, supports and illustrates a perspective on which consistency can be seen as a desideratum rather than a totaly non-negotiable demand. The argumentation of the paper casts consistency in the role of a cognitive ideal rather than a sine qua non condition of rational process.     

Stability of Cognitive Bias for Threat Cues in Phobia

The present study examined whether the cognitive bias for threat is a stable phenomenon in spider phobics and not in nonphobic controls. The rationale of this study was that the use of emotional bias for individual assessment in clinical practice requires stability of this phenomenon. In order to assess the stability of the emotional bias, the spider Stroop task was administered twice to spider phobics and controls, with a time lag of 3 weeks. In two experiments, spider phobics (n_{exp. 1} = 20; n_{exp. 2} = 33) and controls (n_{exp. 1} = 24; n_{exp. 2} = 25) were selected on basis of a structured interview. In the second experiment, subjects anticipated exposure to a real-life spider. Emotional bias was inferred from color-naming latencies on spider words versus control words. In line with our prediction, the bias for threat was stable in spider phobic individuals but not in controls. This stability could not be attributed to a general cognitive characteristic because a standard Stroop task did not differentiate between the spider phobics and the controls. The results support the view that cognitive processing of threat in anxiety is stable. It is proposed to use both the emotional bias and its stability as measures of the constraints on the flexibility of the cognitive fear-network.     

The Impact of Cognitive Diversity on Crisis Negotiations

This paper reports on a series of experiments designed to assess the impact of grouping decision makers by level of cognitive complexity on the outcomes they attain in crisis negotiations. The participants—University of Maryland undergraduates who took roles in a simulated international hostage crisis—used a computer decision support system and a controlled network environment for communications. The goal of the experiments was to better understand the dynamics that lead certain types of groupings to have greater success in negotiations, and that lead certain groups of adversaries to achieve more mutually beneficial outcomes such as compromise and agreement. The findings point to a positive relationship between the level of homogeneity in cognitive complexity among decision makers and the achievement of positive outcomes in crisis negotiations.     

汉语阅读困难儿童认知特征研究

为了解汉语阅读困难者的认知特征,本研究从９６７名５年级１１－１３岁学生中抽取了１１８名被试,将他们分成困难组（包括截点组和低成就组）和对照组,并将其在词语理解等８个认知变量上进行了比较。结果表明,图形记忆与加工能力及对词语和一般信息理解能力的缺损是汉语阅读困难者主要的认知特征。研究还表明,一般信息理解能力发展水平是区分一般阅读落后和特殊阅读落后的一个指标。