Model abstraction is a process in which complex systems are simplified by focusing on the essential features while omitting unnecessary details, enabling easier analysis and understanding. It is crucial for managing complexity in various fields such as computer science, engineering, and cognitive sciences, facilitating the development of more efficient and scalable models.