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 proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publicationComplex Networks and Their Applications XII
Subtitle of host publicationProceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Volume 4
EditorsHocine Cherifi, Luis M. Rocha, Chantal Cherifi, Murat Donduran
PublisherSpringer Science and Business Media Deutschland GmbH
Pages41-52
Number of pages12
Volume4
ISBN (Electronic)9783031535031
ISBN (Print)9783031535024, 9783031535055
DOIs
Publication statusPublished - 2024
Event12th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2023 - Menton, France
Duration: 28 Nov 202330 Nov 2023

Publication series

NameStudies in Computational Intelligence
Volume1144 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference12th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2023
Country/TerritoryFrance
CityMenton
Period28/11/2330/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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