Minimal Models

Minimal Models are simplified representations of complex systems or ideas, aimed at capturing their essential features while omitting unnecessary details. They help researchers and practitioners understand, analyze, and predict behaviors within these systems. By focusing on the core components and interactions, minimal models reduce complexity, making it easier to study and communicate insights. Commonly used in science and engineering, these models strike a balance between simplicity and accuracy, enabling effective problem-solving without getting lost in excessive specifics.