Input-output mapping is a fundamental concept in computational systems where inputs are transformed into outputs through a defined set of rules or functions. This mapping is crucial for understanding and designing systems in fields such as machine learning, signal processing, and control systems, where the goal is to predict or control outputs based on given inputs.