ABSTRACT
This chapter deals with more integrative view by considering how all the separate stages of judgments are combined. Feedback is particularly important in these situations and so people consider attempts to investigate how feedback interacts with the other stages of decision making in real-time 'dynamic' tasks. Outcome feedback may be overstating the case somewhat but first this chapter will address the evidence for this pessimistic conclusion. M. Osman argues that it is important to identify sources and experiences of uncertainty and methods for training in order to determine how to improve performance. People can make good judgments and decisions even in these complex, dynamic tasks. In many multiple-cue probability-learning (MCPL) tasks, the provision of outcome feedback alone is only effective if the environment is relatively simple. This may be because outcome feedback does not provide the decision maker with the information required to understand the cue-criterion relations.
