We present a model of judgment under uncertainty, in which an agent combines data received from the external world with information retrieved from memory to evaluate a hypothesis. We focus on what comes to mind immediately, as the agent makes quick, intuitive evaluations. Because the automatic...

This paper studies a problem of choice under uncertainty in which a decision-maker's (DM) choices randomly map to consumption outcomes. The primitive is a binary relation on menus, where a menu is a set of possible ex post outcomes. After the DM selects a menu, nature (not the DM) makes a...