Decision making with incomplete information

Decision models typically assume that information on essential parameters of the model such as the outcomes of decision alternatives, probability of random events or parameters describing the decision maker’s preferences is available and correct. This area aims at developing models that allow to solve decision problems if such parameters are unknown or not exactly specified. Further, we study incomplete contracts under conditions of non-verifiable effort supplies.