DOI: 10.14704/nq.2018.16.6.1554

Brain’s Distributed Cognitive System - with Sports Culture Cognition as an Example

Yi Liu


Cognition is a process of information processing in the brain. Usually intelligence refers to the ability to reconstruct information. In the cognitive system research field, the traditional artificial intelligence which uses symbolic representation for cognitive simulation has encountered challenges. With the development of brain neuroscience, psychology, cognitive science and related computer technologies, the research on cognitive system is progressing toward contextualization and personification. This paper systematically introduces the cognitive system and several cognitive pathways and analyses their differences and relations. It also describes the elements and characteristics of the distributed cognitive system in detail, including representations and calculations, culture cognition and interactions, etc., and takes the sports culture as an example to further elaborate them. The greatest advantage of the distributed cognition system over the traditional cognitive approach is that it emphasizes the importance of the environment to cognitive activities or processes. As a way to look at cognitive activities, it believes that cognitive processes are distributed to some extent and all cognitive activities should be included in them. This is of great significance to the researches on the cognitive system as well as artificial intelligence.


Cognitive System, Distributed Cognition, Sports Culture

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Beer RD. Dynamical approaches to cognitive science. Trends in Cognitive Sciences 2000; 4 (3): 91-99.

Cole M, Engeström Y. A cultural-historical approach to distributed cognition. Distributed cognitions: Psychological and educational considerations. Cambridge: Cambridge University Press, 1993: 1-46.

Cross I. Music, cognition, culture, and evolution. Annals of the New York Academy of sciences 2001; 930 (1): 28-42.

French RM, Thomas E. The dynamical hypothesis in cognitive science: a review essay of mind as motion. Minds & Machines 2001; 11 (1): 101-11.

Garnham A. Foundations of cognitive science. Journal of Cognitive Neuroscience 1990; 2 (4): 387-394.

Genesereth MR, Nilsson NJ. Logical foundation of artificial intelligence. Brain Broad Research in Artificial Intelligence & Neuroscience 1987; 21 (2): 719-42.

Heft H. Environment, cognition, and culture: reconsidering the cognitive map. Journal of Environmental Psychology 2013; 33: 14-25.

Hollan J. Distributed cognition: toward a new foundation for human-computer interaction research. ACM Transactions on Computer-Human Interaction (TOCHI) 2000; 7 (2): 174-96.

Johnson-Laird PN. Mental models in cognitive science. Cognitive Science 1980; 4 (1): 71-115.

Markus HR, Kitayama S. Culture and the self: implications for cognition, emotion, and motivation. Psychological Review 1991, 98 (2): 224-53.

Nisbett RE, Peng K, Choi I, Norenzayan A, Zhamkochyan MS, Magun VS. Culture and systems of thought: comparison of holistic and analytic cognition. Psikhologicheskiĭ Zhurnal 2011; 32 (1): 55-86.

Pozna C. An introduction on cognition system design. Acta Polytechnica Hungarica 2007; 4 (3): 33-47.

Repovš G, Baddeley A. The multi-component model of working memory: Explorations in experimental cognitive psychology. Neuroscience 2006; 139(1): 5-21.

Sharma A, Goyal GR. Solution of an ELD problem with valve-point effect using artificial intelligence techniques. Mathematical Modelling of Engineering Problems 2017; 4(3): 132-37.

Van GT. The dynamical hypothesis in cognitive science. Behavioral & Brain Sciences 1998; 21 (5): 615-28.

Xiaolan FU, Cai LH, Liu Y, Jia J, Chen WF, Zhang YI, Zhao GZ, Lıu YJ, Wu CX. A computational cognition model of perception, memory, and judgment. Science China (Information Sciences) 2014; 57 (3): 1-15.

Zou G. Ant colony clustering algorithm and improved markov random fusion algorithm in image segmentation of brain images. International Journal Bioautomation 2016; 20(4): 505-14.

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