Cognitive technology to capture deep computational concepts with combinators

Computational activity is now recognized as a natural science, and computational and information processes have been discovered in the deep structures of many areas. Computations in the natural world were present long before the invention of computers, but a remarkable shift in understanding its fundamental nature occurs, in fact, before our eyes. The present moment, in fact, is a transition from the concept of computer science as an artificial science to the understanding that information processes are abundant in nature. Computing is recognized as a natural science that studies natural and artificial information processes.In everyday computing, operations are performed on the individual generators, with little attention paid to their internal structure. However, many common operations consist of more primitive constructions connected by a combination mode. The interaction of information processes and corresponding structures is carried out in an environment of “applicative interaction”, their applications to each other, and the study of the properties of this environment allows us to understand the nature of the computations.In the present work, the main attention is paid to elucidating the technological features of computations with individual generators, or objects. Their interaction is considered in an applicative environment, which allows us to elucidate the internal structure of ordinary operations, the knowledge of which allows us to understand their properties. The choice of initial constant generators, considered as generic ones and expressed by combinators, is discussed. These initial generators are used as the main “building blocks” that occur within the larger blocks of the applicative environment in interaction with each other. As a result of the interaction, constructions arise that give representative sets of ordinary operators and embedded computing systems.     

Patterns of Religious Education Policy in Switzerland: The Long Arm of Distanced Christians?

In spite of its different cantonal jurisdictions and traditions, the development of religious education in Switzerland over the past decade has taken a common direction: the state has assumed a more active role in the field of religious education in public (state‐run) schools. In this article, we ask the question: How do key social actors interpret these reforms and how do these interpretations relate to the social structure of religion in Switzerland, in particular with respect to the majority category of the so‐called distanced Christians? Drawing on qualitative interviews with members of the schools’ teaching staff, school administrators, and church representatives, the article highlights a dominant interpretative pattern that frames the socially accepted representation of religion in public schools. Thus, rather than addressing the pedagogical dimension of religious education, we discuss the significance of this pattern for the debate on the public presence of religion in Switzerland and Europe.     

Revisiting Chinese‐speaking children's understanding of argument structure

A causative verb is likely to appear in a sentence with two noun arguments, whereas a noncausative verb tends to appear in a sentence with a single argument. The present research investigates from what point children learning Chinese begin to show this knowledge of argument structure. Two‐, 3‐, 4‐, and 5‐year‐old children were tested using a forced‐choice pointing task. The results showed that Chinese‐speaking children aged 2 years could associate a transitive construction with a causative event, whereas they were not able to map an intransitive construction to a noncausative event even after reaching 5 years of age. The reason why Chinese children have such difficulty in learning knowledge of intransitive construction is discussed, focusing on (a) the semantic properties of certain intransitive verbs, which have been found not only in Chinese but also in other languages, and (b) the ellipsis of arguments, which is characteristic of Chinese.     

Observing a client's grieving process: bringing logical positivism into qualitative grief counselling research

This positional paper originates from our need as researcher/practitioners to establish a meaningful epistemological framework for research into bereaved people's journey through loss and grief over time. We describe how the field of grief research has a long and established biological basis, in keeping with a positivist epistemology. However, there has been a diminution of the influence of logical positivism in twenty-first-century counselling research. We argue that in grief counselling research, naturalistic observation of the grieving process within a logical positivist paradigm, remains a valid and valuable construct. We posit an observational protocol for the grief counselling process which minimises the intrusion of research method into the therapeutic process. We offer this as a means of conducting qualitative research within a bereavement counselling service. Further, we suggest that the development of an observational protocol for a client's grieving process has potential implications for developing good practice in grief work.     

Children Use Temporal Cues to Learn Causal Directionality

The ability to learn the direction of causal relations is critical for understanding and acting in the world. We investigated how children learn causal directionality in situations in which the states of variables are temporally dependent (i.e., autocorrelated). In Experiment 1, children learned about causal direction by comparing the states of one variable before versus after an intervention on another variable. In Experiment 2, children reliably inferred causal directionality merely from observing how two variables change over time; they interpreted Y changing without a change in X as evidence that Y does not influence X. Both of these strategies make sense if one believes the variables to be temporally dependent. We discuss the implications of these results for interpreting previous findings. More broadly, given that many real‐world environments are characterized by temporal dependency, these results suggest strategies that children may use to learn the causal structure of their environments.     

The Effects of Prior Learned Strategies on Updating an Opponent's Strategy in the Rock,Paper, Scissors Game

To explore how model building adapts to changing environments, we had participants play “rock‐paper‐scissors” against a computer that played a frequency bias or a player‐dependent bias and then switched. Participants demonstrated their use of prior experience in how quickly they recognized and exploited changes in the computer's play strategy; in general, the more similar the strategies, the more efficient the updating. These findings inform our understanding of previously reported updating impairments in right‐brain damaged patients.     

多级评分模型下的题库结构对CAT的影响分析

在多级评分模型下,项目的难度参数或步骤参数有多个,在对多级评分模型进行选题时,通常对项目的多个难度参数用一个综合的指标来概括.当对每个项目的难度参数进行有效的综合后,综合后的难度参数分布发生了改变,这时如果增加适量的平均难度较难或较易的项目进入题库,测验的精度和项目的曝光率都有一定的改善.     

大学生的基本兴趣及其与专业承诺的关系

该研究调查了1304名来自18个不同专业领域的大学生的基本兴趣和专业承诺,并用回归法分析了特定基本兴趣与专业承诺之间的关系.结果发现：（1）大学生的31种基本兴趣在二维空间中呈现近似圆形的排列,且基本兴趣结构上的性别差异不明显;（2）在14个专业领域内大学生的特定基本兴趣能显著预测其专业承诺,所解释的变异量平均为20％,接近中等水平的效果大小;（3）在不同专业领域内基本兴趣对专业承诺的影响效果大小有所不同.     

The driver behaviour questionnaire in South-East Europe countries: Bulgaria,Romania and Serbia

Using data from three samples and more than 1000 participants, this study have examined the psychometric properties of the Driver Behaviour Questionnaire (DBQ) in three countries from South-East Europe. Differences in driving behaviour between countries were also investigated. Exploratory factor analysis results supported the distinction between errors and violations in all three countries. Furthermore, the positive associations of both errors and violations with self-reported traffic accidents were also consistent in all three samples. In terms of differences in driving behaviour, Romanian drivers scored higher on many error and violation items in comparison to the other two countries. Also, speeding violations were the most common violations in all three countries. Overall, our results provide further support for using the DBQ to measure aberrant (i.e. errors and violations) driver behaviour.     

Bidirectional feature selection with global and local structure preservation for small size samples

Collecting samples is a challenging task for face recognition, especially for some real-world applications such as law enhancement and ID card identification, where there is usually single sample per person (SSPS) used to train a face recognition system. To extract discriminative features from the small size samples, in this paper we propose virtual samples via bidirectional feature selection with global and local structure preservation (VS-BFS-GL) to augment the number of training samples. In VS-BFS-GL, bidirectional feature selection is developed, which introduces L_2,1 norm to explore the face variations from both horizontal and vertical directions. Further, to include more variations in the virtual images, the global structure information and sample-specified local structure information of the SSPP training set are considered. By integrating bidirectional feature selection, global and local structure, the limited training samples are fully utilized and more knowledge are mined. To further improve the effectiveness of VS-BFS-GL, an auxiliary database containing different face variations can be used to explore the local structure information. We extensively evaluated the proposed approach on AR and FERET database. The promising recognition results demonstrate that VS-BFS-GL is robust to expression, pose and partial occlusion variations in the faces.