Focusing on the complexities of adaptive networks, this book explores their dynamic nature, contrasting them with traditional networks that can be modeled clearly. It highlights how connections in Mental and Social Networks evolve through learning and social interactions, respectively. The text emphasizes the challenges modelers face when integrating procedural specifications for adaptation, leading to a hybrid modeling approach that combines programming elements with traditional modeling techniques. This nuanced perspective aims to enhance understanding and facilitate better modeling practices for adaptive networks.
