An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action

Yelyzaveta Mukeriia; Jan Treur; Sophie Hendrikse

doi:10.1007/978-3-031-53503-1_4

An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action

Yelyzaveta Mukeriia
, Jan Treur^*
, Sophie Hendrikse

^*Corresponding author for this work

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

Abstract

This paper presents an adaptive network model in the context of joint action and social bonding. Exploration of mechanisms for mental and social network models are presented, specifically focusing on adaptation by bonding based on homophily and Hebbian learning during joint rhythmic action. The paper provides a comprehensive explanation of these concepts and their role in controlled adaptation within illustrative scenarios.

Original language	English
Title of host publication	Complex networks and their applications XII
Subtitle of host publication	Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4
Publisher	Springer Cham
Pages	41-52
Number of pages	12
Volume	4
ISBN (Electronic)	9783031535031
ISBN (Print)	9783031535055, 9783031535024
DOIs	https://doi.org/10.1007/978-3-031-53503-1_4
Publication status	Published - 29 Feb 2024
Externally published	Yes
Event	The 12t international conference on complex networks and their applications: Complex networks 2023 - Menton Riviera, France Duration: 28 Nov 2023 → 30 Nov 2023 Conference number: 12 https://2023.complexnetworks.org/

Publication series

Name	Studies in computational intelligence
Publisher	Springer
Volume	1144
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	The 12t international conference on complex networks and their applications
Country/Territory	France
City	Menton Riviera
Period	28/11/23 → 30/11/23
Internet address	https://2023.complexnetworks.org/

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10.1007/978-3-031-53503-1_4

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Mukeriia, Y., Treur, J., & Hendrikse, S. (2024). An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action. In Complex networks and their applications XII : Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4 (Vol. 4, pp. 41-52). (Studies in computational intelligence; Vol. 1144). Springer Cham. https://doi.org/10.1007/978-3-031-53503-1_4

Mukeriia, Yelyzaveta ; Treur, Jan ; Hendrikse, Sophie. / An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action. Complex networks and their applications XII : Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. Vol. 4 Springer Cham, 2024. pp. 41-52 (Studies in computational intelligence).

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title = "An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action",

abstract = "This paper presents an adaptive network model in the context of joint action and social bonding. Exploration of mechanisms for mental and social network models are presented, specifically focusing on adaptation by bonding based on homophily and Hebbian learning during joint rhythmic action. The paper provides a comprehensive explanation of these concepts and their role in controlled adaptation within illustrative scenarios.",

author = "Yelyzaveta Mukeriia and Jan Treur and Sophie Hendrikse",

year = "2024",

month = feb,

day = "29",

doi = "10.1007/978-3-031-53503-1\_4",

language = "English",

isbn = "9783031535055",

volume = "4",

series = "Studies in computational intelligence",

publisher = "Springer Cham",

pages = "41--52",

booktitle = "Complex networks and their applications XII",

note = "The 12t international conference on complex networks and their applications : Complex networks 2023 ; Conference date: 28-11-2023 Through 30-11-2023",

url = "https://2023.complexnetworks.org/",

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Mukeriia, Y, Treur, J & Hendrikse, S 2024, An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action. in Complex networks and their applications XII : Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. vol. 4, Studies in computational intelligence, vol. 1144, Springer Cham, pp. 41-52, The 12t international conference on complex networks and their applications, Menton Riviera, France, 28/11/23. https://doi.org/10.1007/978-3-031-53503-1_4

An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action. / Mukeriia, Yelyzaveta; Treur, Jan; Hendrikse, Sophie.
Complex networks and their applications XII : Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. Vol. 4 Springer Cham, 2024. p. 41-52 (Studies in computational intelligence; Vol. 1144).

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

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AU - Hendrikse, Sophie

N1 - Conference code: 12

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Y1 - 2024/2/29

N2 - This paper presents an adaptive network model in the context of joint action and social bonding. Exploration of mechanisms for mental and social network models are presented, specifically focusing on adaptation by bonding based on homophily and Hebbian learning during joint rhythmic action. The paper provides a comprehensive explanation of these concepts and their role in controlled adaptation within illustrative scenarios.

AB - This paper presents an adaptive network model in the context of joint action and social bonding. Exploration of mechanisms for mental and social network models are presented, specifically focusing on adaptation by bonding based on homophily and Hebbian learning during joint rhythmic action. The paper provides a comprehensive explanation of these concepts and their role in controlled adaptation within illustrative scenarios.

U2 - 10.1007/978-3-031-53503-1_4

DO - 10.1007/978-3-031-53503-1_4

M3 - Conference contribution

SN - 9783031535055

SN - 9783031535024

VL - 4

T3 - Studies in computational intelligence

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BT - Complex networks and their applications XII

PB - Springer Cham

T2 - The 12t international conference on complex networks and their applications

Y2 - 28 November 2023 through 30 November 2023

ER -

Mukeriia Y, Treur J, Hendrikse S. An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action. In Complex networks and their applications XII : Proceedings of the twelfth international conference on complex networks and their applications: COMPLEX NETWORKS 2023, Volume 4. Vol. 4. Springer Cham. 2024. p. 41-52. (Studies in computational intelligence). doi: 10.1007/978-3-031-53503-1_4

An adaptive network model for learning and bonding during a varying in rhythm synchronous joint action

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