Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

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Focusing on the complexities of adaptive networks, this book explores how their dynamic structures differ from traditional network models. It highlights the challenges in modeling these networks, which evolve through processes like learning in Mental Networks and social dynamics in Social Networks. The text emphasizes the need for hybrid specifications that combine declarative modeling with procedural elements, addressing the intricacies that arise when adapting network connections. Modelers are guided through the nuances of this less transparent approach, balancing programming and modeling techniques.