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.     

Stroop interference is a composite phenomenon: Evidence from distinct developmental trajectories of its components

Only one previous developmental study of Stroop task performance (Schiller, 1966) has controlled for differences in processing speed that exist both within and between age groups. Therefore, the question of whether the early developmental change in the magnitude of Stroop interference actually persists after controlling for processing speed needs further investigation; work that is further motivated by the possibility that any remaining differences would be caused by process(es) other than processing speed. Analysis of data from two experiments revealed that, even after controlling for processing speed using z‐transformed reaction times, early developmental change persists such that the magnitude of overall Stroop interference is larger in 3rd‐ and 5th graders as compared to 1st graders. This pattern indicates that the magnitude of overall Stroop interference peaks after 2 or 3 years of reading practice (Schadler & Thissen, 1981). Furthermore, this peak is shown to be due to distinct components of Stroop interference (resulting from specific conflicts) progressively falling into place. Experiment 2 revealed that the change in the magnitude of Stroop interference specifically results from joint contributions of task, semantic and response conflicts in 3rd‐ and 5th graders as compared to a sole contribution of task conflict in 1st graders. The specific developmental trajectories of different conflicts presented in the present work provide unique evidence for multiple loci of Stroop interference in the processing stream (respectively task, semantic and response conflict) as opposed to a single (i.e. response) locus predicted by historically – favored response competition accounts.     

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).     

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.     

工作反刍及其“双刃剑”效应

工作反刍指在没有要求其出现的情境下, 有意识的、重复发生的工作方面的相关想法, 分为工作相关情感反刍与工作相关问题解决沉思两个维度。工作反刍对个体健康、工作及幸福感的影响有“双刃剑”效应。持续性认知理论、压力认知激活模型与认知资源视角理论, 可以解释该效应的内在机制。未来研究应分析影响双刃剑效应的边界条件, 寻求减少消极效应、增加积极效应的途径, 拓展其双刃剑效应心理机制的分析视角和该效应的作用层面。     

时间任务需求对无关情绪面孔注意捕获的影响

注意捕获是指与任务无关的刺激能够不自觉地吸引注意的现象。实验一采用视觉搜索任务,考察与主任务无关的情绪面孔的注意捕获水平及其机制,实验二进一步探究时间任务需求对无关情绪面孔注意捕获的影响。结果发现:与其他情绪面孔相比,愤怒的情绪面孔捕获了更多的注意,且受到整体情绪加工的影响;时间任务需求影响了目标刺激的注意选择,但愤怒优势效应不受到时间任务需求的影响,因此可能是一种较为自动化的加工过程。     

辣食渴求者抑制控制能力的行为和ERP研究

采用事件相关电位(ERP)技术,探讨一般线索Go/Nogo和辣食线索Go/Nogo任务过程中,辣食渴求者和非辣食渴求者的抑制控制能力。（1）行为结果显示,两组被试辣食线索的反应时和错误率无显著差异,均在任务类型上有差异,即对辣食线索的反应更慢;（2）ERP结果显示,在辣食相关线索Go/Nogo任务中辣食渴求者的N2b和P3波幅都显著小于非辣食渴求者,N2a没有差异;在一般线索Go/Nogo任务中,ERP成分没有发现显著差异。结果提示,辣食渴求者只在辣食相关线索的抑制控制能力弱于非辣食渴求者,这可能意味着他们对辣食线索抑制反应的缺失。