There are a variety of cognitive forms in network games, such as the problem-based cognition construction, the cognitive training based on AI challenge, the activity-based cognitive interaction, the task-based cognition retention, and the growth-based cognitive apprenticeship, etc. Meanwhile, based on the frequent interactions and distributed cognition among the players, there is an ecological field of learning, with large amount of information symbols, biggish interaction groups and free space for activities, etc. Its main functions are reflected in the situated tasks, the negotiated process, the collaborative environments, and the real-time feedback, etc. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Tao, K. (2010). Distributed cognition and ecological field of learning in network games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6249 LNCS, pp. 269–277). https://doi.org/10.1007/978-3-642-14533-9_27
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