Modeling multiattribute information processing strategies in a binary decision task

Abstract A method is presented for determining the rules underlying a decision maker's binary evaluations of multiattribute stimuli. Two experimental studies showed that the method was successful in determining the rules employed by real decision makers. An algorithm for simplifying the task, so as to detect rules with a minimum of testing, is also presented. These techniques should prove useful in helping decision makers formulate and express their policies.