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 language | English |
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Title of host publication | Proc. of the 14th International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI'23 |
Publisher | Elsevier |
Publication status | Accepted/In press - 9 Jul 2023 |