An adaptive dynamics network is a dynamic system comprised of interconnected nodes that continuously adapt their connections and behavior in response to changing circumstances. These networks differ from static ones by allowing for the evolution of connections over time, driven by feedback loops, environmental cues, or individual node interactions. By modeling the adaptive behavior of complex systems, such as biological networks or social structures, researchers gain insights into the emergence of patterns, resilience to disruptions, and the optimization of network performance. Adaptive dynamics networks serve as powerful tools for understanding the intricate interplay between structure and function in dynamic systems, guiding strategies for adaptation and intervention in diverse fields.