Extraversion,Openness to Experience,and Global Career Intention: The Mediating Role of Cultural Intelligence

Drawing from social cognitive career theory, this study asserts that the personality traits of extraversion and openness to experience are positively and significantly related to global career intention (GCI). Moreover, drawing from self‐efficacy theory, this study asserts that cultural intelligence mediates the relationship between these personality traits and GCI. Results from a study in Australia of 158 undergraduate students demonstrated that extraversion and openness to experience are positively and significantly related to GCI. Results also showed that cultural intelligence partially mediates the relationship between (a) extraversion and GCI and (b) openness to experience and GCI.     

Different Effects of Cognitive Shifting and Intelligence on Creativity

The relationship between creativity and executive control has long been controversial. Some researchers view creative thinking as a defocused process with little executive control involvement, whereas others claim that executive control plays a vital role in creative thinking. In this study, we focused on one subcomponent of executive control, cognitive shifting, and examined its relationship with creativity by using latent variable analysis and structural equation modeling. We also analyzed whether this relation was mediated by intelligence. The results showed that: (a) cognitive shifting ability had a positive relationship with creativity, but only on the quantitative aspects (fluency and flexibility); (b) Intelligence had a positive relationship with both quantitative and qualitative aspects (originality) of creativity, and its effect on qualitative aspect was stronger than that on the quantitative aspect; (c) There was a mediating effect of intelligence on the relationship between creativity cognitive and shifting.     

智力和人格内隐观对大学生应对方式和抑郁的影响——变量中心和个体中心分析

为考察智力和人格内隐观对大学生应对方式和抑郁的影响,采用智力和人格内隐观问卷、简易应对方式问卷和抑郁量表对624名大学生进行测查。结果如下：（1）变量中心的分析结果表明,整体上大学生智力和人格内隐观仅对积极应对的预测作用显著。（2）为考察智力和人格内隐观在大学生群体中的组合类型,采用个体中心的分析思路对智力和人格内隐观得分进行潜在剖面分析,可将大学生的内隐观划分为四种类型：智力/人格固存观型、智力/人格内隐观适中型、智力增长观/人格可塑观型、智力固存观/人格可塑观型。四类大学生在智力内隐观上的得分两两差异显著;除智力增长观/人格可塑观型与智力固存观/人格可塑观型外,四类大学生在人格内隐观上的得分也两两差异显著。（3）智力增长观/人格可塑观型大学生的积极应对得分显著高于其他三类大学生,而消极应对和抑郁显著低于其他三类大学生;智力固存观/人格可塑观型大学生的消极应对和抑郁显著高于其他三类大学生。     

Modelling the human lane-change execution behaviour through Multilayer Perceptrons and Convolutional Neural Networks

Driving is a highly complex task that involves the execution of multiple cognitive tasks belonging to different levels of abstraction. Traffic emerges from the interaction of a big number of agents implementing those behaviours, but until recent years, modelling it by the interaction of these agents in the so called micro-simulators was a nearly impossible task as their number grows. However, with the growing computing power it is possible to model increasingly large quantities of individual vehicles according to their individual behaviours. These models are usually composed of two sub-models for two well-defined tasks: car-following and lane-change. In the case of lane-change the literature proposes many different models, but few of them use Computational Intelligence (CI) techniques, and much less use personalization for reaching individual granularity. This study explores one of the two aspects of the lane-change called lane-change acceptance, where the driver performs or not a lane-change given his intention and the vehicle environment. We demonstrate how the lane-change acceptance of a specific driver can be learned from his lane change intention and surrounding environment in an urban scenario using CI techniques such as feed-forward Artificial Neural Network (ANN). We work with Multilayer Perceptron (MLP) and Convolutional Neural Networks (CNN) architectures. How they perform one against the other and how the different topologies affect both to the generalization of the problem and the learning process are studied.     

Enterprise credit risk evaluation based on neural network algorithm

To explore the enterprise credit risk evaluation, the application effect of several common neural network models in Chinese small and medium-sized enterprise data sets was compared and the optimal parameters for each model were determined. In addition, the classification accuracy and the applicability of the model were compared, and finally the common problem of optimization neural network algorithm based on population was solved: need to determine the dimensions in advance. The experimental results showed that the probabilistic neural network (PNN) had the minimum error rate and second types of errors, while the PNN model had the highest AUC value and was robust. To sum up, the algorithm makes some contributions to solve the financing problem of small and medium-sized enterprises in China.     

大学生反刍思维对消极情感和积极情感的影响——以孤独感和情绪智力为例

以331名大学生为被试,采用反刍思维量表、孤独感量表和情绪智力量表,考察了三者之间的关系,以说明反刍思维既可以对个体情绪产生消极影响,也可以对其产生积极影响。结果表明,在中国大学生群体中,反刍思维的反省维度得分高于抑郁相关和沉思维度得分;反刍思维总分及三个维度都可以正向预测孤独感;反刍思维的抑郁相关维度负向预测情绪智力水平,反省维度正向预测情绪智力;情绪智力分别在反刍思维、抑郁相关和沉思三个变量与孤独感之间的关系中起着调节作用,可以缓解三个变量对孤独感的预测作用。     

Operational Noology as a new methodology for the study of thought and language: theoretical aspects and possible practical applications

In this article, the author presents a new methodology for the study of two fundamental components of consciousness, that is thought and language. The fundamental presupposition that forms the basis of this methodology is that thought is not simply a passive "reflection" of an external "reality", but also (and especially) something active, i.e. that the fundamental components of thought are sequences of operations, amongst which the ones of attention play a key role. These sequences of elementary mental operations are called mental categories, and are the meanings of all the words that do not seem to indicate something physical (first of all, all the "grammatical" words, that is conjunctions, prepositions, articles, pronouns, fundamental verbs like "to be", "to have" etc., the main adverbs, and, in the large number of languages that have a more or less rich morphology, all morphemes (the ones which indicate cases, in languages that have cases, the number and the gender of nouns and adjectives, moods and tenses of the verb etc.). The author proposes a list of these elementary mental operations and he shows how it is possible, basing ourselves on them, to identify the meanings of these words, which are indispensable for any linguistic expression. The author also mentions a possible short-term practical application of these theories, i.e. a device in order to improve the quality of machine translation. He also formulates the hypothesis that these theories could allow us to look in a new way at the problem of the (partial) artificial reproduction of the human activity of thought and language.     

Technical intelligence in animals: the kea model

The ability to act on information flexibly is one of the cornerstones of intelligent behavior. As particularly informative example, tool-oriented behavior has been investigated to determine to which extent nonhuman animals understand means-end relations, object affordances, and have specific motor skills. Even planning with foresight, goal-directed problem solving and immediate causal inference have been a focus of research. However, these cognitive abilities may not be restricted to tool-using animals but may be found also in animals that show high levels of curiosity, object exploration and manipulation, and extractive foraging behavior. The kea, a New Zealand parrot, is a particularly good example. We here review findings from laboratory experiments and field observations of keas revealing surprising cognitive capacities in the physical domain. In an experiment with captive keas, the success rate of individuals that were allowed to observe a trained conspecific was significantly higher than that of naive control subjects due to their acquisition of some functional understanding of the task through observation. In a further experiment using the string-pulling task, a well-probed test for means-end comprehension, we found the keas finding an immediate solution that could not be improved upon in nine further trials. We interpreted their performance as insightful in the sense of being sensitive of the relevant functional properties of the task and thereby producing a new adaptive response without trial-and-error learning. Together, these findings contribute to the ongoing debate on the distribution of higher cognitive skills in the animal kingdom by showing high levels of sensorimotor intelligence in animals that do not use tools. In conclusion, we suggest that the 'Technical intelligence hypothesis' (Byrne, Machiavellian intelligence II: extensions and evaluations, pp 289-211, 1997), which has been proposed to explain the origin of the ape/monkey grade-shift in intelligence by a selection pressure upon an increased efficiency in foraging behavior, should be extended, that is, applied to some birds as well.     

Western and Russian Traditions of Big History: A Philosophical Insight

Summary  Big History – an integral conception of the past since the Big Bang until today – is a novel subject of cross-disciplinary interest. The concept was construed in the 1980–1990s simultaneously in different countries, after relevant premises had matured in the sciences and humanities.Various versions and traditions of Big History are considered in the article. Particularly, most of the Western authors emphasize the idea of equilibrium, and thus reduce cosmic, biological, and social evolution to the mass-energy processes; the informational parameter involving all mental and spiritual aspects are seen as epiphenomena of material structures” complication that do not play their own role in evolution. In Russian tradition ascending to A. Bogdanov, E. Bauer, I. Prigogine, and E. Jantsch, sustainable non-equilibrium patterns are used. This implies attention to the pan-material sources and evolution of mental capacities and spiritual culture (as basic anti-entropy instruments) and humans” growing intervention in the material processes on Earth and outside it.The non-equilibrium approach in the context of modern control and self-organization theories, alters the portrayal of the past, and still more dramatically, estimation of the civilization’s potential perspectives.