Dynamic decision making (DDM) is usually operationalized in a way that subjects explore and control computer-simulated dynamic systems consisting of interconnected variables. Most authors in the field agree on a “standard model ofDDM” that assumes that decision makers have to learn the causal structure of the system through appropriate explorativebehavior before they can bring the system to given goal states. This strategy draws heavily on cognitive ressources, such asworking memory. The standard model predicts that performance in DDM, as well as structural knowledge should be severelyimpaired when a second cognitive task has to be executed while exploring the system. An experiment with a dual task as themain factor revealed no differences in knowledge and performance between the conditions. Participants in both conditionsappeared to rely on rudimentary structural knowledge and adopted intuitive strategies. We interprete the findings within a dualprocessing framework.