A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning

被引:0
|
作者
de Bruin, Ege
Weier, Matthijs
Treur, Jan [1 ]
机构
[1] Vrije Univ Amsterdam, Athena Inst, Fac Sci, Amsterdam, Netherlands
来源
BRAIN INFORMATICS (BI 2022) | 2022年 / 13406卷
关键词
D O I
10.1007/978-3-031-15037-1_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses computational analysis by psychological knowledge in motor learning of how people with certain personalities, alone and in pairs, are being influenced by several factors during their motor learning processes. To this end a second-order adaptive network model was designed for the social and behavioural processes involved. Example simulations show how the model fits to different situations. Mathematical analysis was performed for verification and parameter tuning for validation.
引用
收藏
页码:343 / 358
页数:16
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