A Multi-Adaptive Network Model for Human Hebbian Learning, Synchronization and Social Bonding Based on Adaptive Homophily

Yelyzaveta Mukeriia, Jan Treur, Sophie Hendrikse

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper present a multi-adaptive network model integrating multiple adaptation mechanisms, specifically focusing on five types of adaptation mechanisms. Two of them address first-order adaptation by learning of responding on others and first-order adaptation by bonding with others based on homophily. Three other adaptation mechanisms addressed are second-order adaptation of the speed of both Hebbian learning and bonding by homophily, and second-order adaptation of the homophily tipping point. The paper provides a comprehensive explanation of these concepts and their role in controlled learning within the diverse context scenarios of the paper.
Original languageEnglish
Title of host publicationProc. of the 14th International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI'23
PublisherElsevier
Publication statusAccepted/In press - 9 Jul 2023

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