Construction of visual cognitive computation model for sports psychology based on knowledge atlas

A total of 584 thematic journals were included in the “Chinese Journal of Psychology” from 1996 to 2017 as the basic data set for this study, using bibliometrics, co-occurrence analysis, word frequency analysis, etc., and using CiteSpace III. Software mapping of knowledge. Visual analysis of published papers, research hotspots, research topic time zones, core authors, author co-occurrences, and research institutions of sports psychology research in China. It aims to fully grasp the dynamics of research on the development of sports psychology in China. The process provides a valuable reference for the theoretical research and practice of sports psychology in China. The results show that: Taking time as the axis, the amount of published documents can be divided into three stages: slow growth stage, rapid growth stage, and stable development stage; research topic time zone is also divided into three stages, and the basis for division of each stage is For the introduction of national sports reforms or new policies; 1996–2017, the focus of sports psychology disciplines is the application of sports psychology in physical education and sports training; the core authors in the field are representatives of Yan Jun, Wang Jin, and Yan. Gang Yan, etc.; The core organization of the volume of documents issued is based on professional sports colleges. The representative agency is Beijing Sport University.     

ERP evidence of visualization at early stages of visual processing

Recent neuroimaging research suggests that early visual processing circuits are activated similarly during visualization and perception but have not demonstrated that the cortical activity is similar in character. We found functional equivalency in cortical activity by recording evoked potentials while color and luminance patterns were viewed and while they were visualized with the eyes closed. Cortical responses were found to be different when imagining a color pattern vs. imagining a checkerboard luminance pattern, but the same when imagining a color pattern (or checkerboard pattern) vs. seeing the same pattern. This suggests that early visual processing stages may play a dynamic role in internal image generation, and further implies that visual imagery may modulate perception.     

An initial search for visual overshadowing

A consistent, albeit fragile, finding over the last couple of decades has been that verbalization of hard-to-verbalize stimuli, such as faces, interferes with subsequent recognition of the described target stimulus. We sought to elicit a similar phenomenon whereby visualization interferes with verbal recognition—that is, visual overshadowing. We randomly assigned participants (n?=?180) to either concrete (easy to visualize) or abstract (difficult to visualize) sentence conditions. Following presentation, participants were asked to verbalize the sentence, visualize the sentence, or work on a filler task. As predicted, visualization of an abstract verbal stimulus resulted in significantly lower recognition accuracy; unexpectedly, however, so did verbalization. The findings are discussed within the framework of fuzzy-trace theory.     

"What if…": The Use of Conceptual Simulations in Scientific Reasoning

The term conceptual simulation refers to a type of everyday reasoning strategy commonly called "what if" reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little direct evidence exists to support this claim. This article proposes that conceptual simulation is likely to be used in situations of informational uncertainty, and may be used to help scientists resolve that uncertainty. We conducted two studies to investigate the relationship between conceptual simulation and informational uncertainty. Study 1 was an in vivo study of expert scientists; the results suggest that scientists do use conceptual simulation in situations of informational uncertainty, and that they use conceptual simulation to make inferences from their data using the analogical reasoning process of alignment by similarity detection. Study 2 experimentally manipulated experts' level of uncertainty and provides further support for the hypothesis that conceptual simulation is more likely to be used in situations of informational uncertainty. Finally, we discuss the relationship between conceptual simulation and other types of reasoning using qualitative mental models.     

Does playing blindfold chess reduce the quality of game: comments on chabris and hearst (2003)

Blindfold chess is a special type of chess game where both the board and pieces are not visible to its players. This paper aims to determine whether the quality of the game played blindfolded is lower than when played under normal conditions. The best chess program was used to analyze games played by the world's top Grandmasters under both conditions. We have analyzed the Monaco 1993–1998 data set introduced by Chabris and Hearst (2003) . The results showed that although a larger number of mistakes occurred while playing blindfolded, no significant statistical difference between the rapid and blindfold games has been found. Nevertheless, by applying the same methodology to the Monaco 2002–2007 data set a substantial difference between the blindfold and the rapid chess game was noticed. In this paper, we have addressed the possible improvement of the chess game quality and the advances in chess programs that may be responsible for detecting more blunders.     

Visual cognitive algorithms for high-dimensional data and super-intelligence challenges

In the long run the cognitive algorithms intend to make super-intelligent machines and super-intelligent humans. This paper presents a technical process to reach specific aspects of super-intelligence that are out of the current human cognitive abilities. These aspects are inabilities to discover patterns in large numeric multidimensional data with a naked eye. This is a long-standing problem in Data Science and Modeling in general. The major obstacle is in human inability to see n-D data by a naked eye and our needs in visualization means to represent n-D data in 2-D losslessly. While these means exist their number and abilities are limited. This paper expands the class of such lossless visual methods, by further developing a new concept of Generalized Shifted Paired Coordinates. It shows the advantages of proposed reversible lossless technique by representing real data and by proving mathematical properties.