Causal induction is the process by which individuals infer causal relationships from observed data or experiences.
It involves identifying potential causes for specific effects based on patterns, correlations, or temporal sequences. This cognitive ability allows people to make predictions and decisions by understanding how different variables interact within their environment.

Causal induction is fundamental in fields such as psychology, philosophy, and machine learning, where understanding causality is essential for analysis and reasoning.