We present an axiomatic model of preferences over menus that is motivated by three assumptions. First, the decision maker is uncertain ex ante (i.e., at the time of choosing a menu) about her ex post (i.e., at the time of choosing an option within her chosen menu) preferences over options, and she anticipates that this subjective uncertainty will not resolve before the ex post stage. Second, she is averse to ex post indecisiveness (i.e., to having to choose between options that (...) she cannot rank with certainty). Third, when evaluating a menu she discards options that are dominated (i.e., inferior to another option whatever her ex post preferences may be) and restricts attention to the undominated ones. Under these assumptions, the decision maker has a preference for commitment in the sense of preferring menus with fewer undominated alternatives. We derive a representation in which the decision maker’s uncertainty about her ex post preferences is captured by means of a subjective state space, which in turn determines which options are undominated in a given menu, and in which the decision maker fears, whenever indecisive, to choose an option that will turn out to be the worst (undominated) one according to the realization of her ex post preferences. (shrink)

In this paper, we provide an axiomatic foundation of pessimism and optimism towards ambiguity that emerges due to growing awareness. In our setup, this corresponds to a discovery of finer “descriptions” of the original contingencies. A decision-maker can form subjective probabilistic beliefs on the original state space and behaves as an expected utility maximizer. However, as finer contingencies are discovered, he may perceive ambiguity with respect to the newly identified states and thus be unable to extend her initial probabilistic beliefs (...) to the expanded state space in an additive way. As a result, the decision-maker’s new beliefs are now “ambiguous” and represented by a probability distribution combined, for each refinement of an original state, with a degree of confidence in this probability estimate. We provide a parametric representation of preferences, identify the DM’s degree of ambiguity as well as his attitude towards ambiguity as captured by the degree of optimism and pessimism. We illustrate the relation of our model to some well-known capacities, such as the E-capacities introduced by Eichberger and Kelsey, the JP-capacities of Jaffray and Philippe and the NEO-additive capacities developed by Chateauneuf et al.. (shrink)