Memory & Cognition

We frequently make predictions on the basis of a set of probabilistic cues—for instance, which team will win the sports game tonight or whether it will rain today. Often, all of the relevant information is not available. For instance, when one is looking at the sky to predict whether or not it will rain, one probably does not know whether the barometric pressure is rising or falling, which otherwise would have been factored into one’s judgment. It is not only important to understand how people process the in-formation that is available in these types of tasks, but also to understand how people respond when potentially predictive information is not available. Studies of multiple-cue probability learning typically use tasks with complete information availability, but sit-uations in which one has partial information are far mor