Constraint-Based Human Causal Learning

Much of human cognition and activity depends on causal beliefs and reasoning. In psychological research on human causal learning and inference, we usually suppose that we have a set of binary potential causes, C ₁ ,…, C_n , and a known binary effect, E, all typically present-absent values of a property or event. The differentiation into potential causes and effect is made on the basis of external factors, including prior knowledge or temporal information.