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

Ege de Bruin; Matthijs Weier; Jan Treur

doi:10.1007/978-3-031-15037-1_28

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

Ege de Bruin, Matthijs Weier, Jan Treur^*

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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.

Original language	English
Title of host publication	Brain Informatics
Subtitle of host publication	15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings
Editors	Mufti Mahmud, Jing He, Stefano Vassanelli, André van Zundert, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	343-358
Number of pages	16
ISBN (Electronic)	9783031150371
ISBN (Print)	9783031150364
DOIs	https://doi.org/10.1007/978-3-031-15037-1_28
Publication status	Published - 2022
Event	15th International Conference on Brain Informatics, BI 2022 - Virtual, Online Duration: 15 Jul 2022 → 17 Jul 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13406 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Brain Informatics, BI 2022
City	Virtual, Online
Period	15/07/22 → 17/07/22

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Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

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10.1007/978-3-031-15037-1_28

A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor LearningFinal published version, 2.1 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/357648578

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de Bruin, E., Weier, M., & Treur, J. (2022). A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning. In M. Mahmud, J. He, S. Vassanelli, A. van Zundert, & N. Zhong (Eds.), Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings (pp. 343-358). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13406 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15037-1_28

de Bruin, Ege ; Weier, Matthijs ; Treur, Jan. / A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning. Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. editor / Mufti Mahmud ; Jing He ; Stefano Vassanelli ; André van Zundert ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2022. pp. 343-358 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

author = "{de Bruin}, Ege and Matthijs Weier and Jan Treur",

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de Bruin, E, Weier, M & Treur, J 2022, A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning. in M Mahmud, J He, S Vassanelli, A van Zundert & N Zhong (eds), Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13406 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 343-358, 15th International Conference on Brain Informatics, BI 2022, Virtual, Online, 15/07/22. https://doi.org/10.1007/978-3-031-15037-1_28

A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning. / de Bruin, Ege; Weier, Matthijs; Treur, Jan.
Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. ed. / Mufti Mahmud; Jing He; Stefano Vassanelli; André van Zundert; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2022. p. 343-358 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13406 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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de Bruin E, Weier M, Treur J. A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning. In Mahmud M, He J, Vassanelli S, van Zundert A, Zhong N, editors, Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 343-358. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 Aug 20. doi: 10.1007/978-3-031-15037-1_28

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

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