A game-theoretic framework that allows for explicitly randomized strategies is used to study the e ect of ambiguity … predictions of two player games with ambiguity averse and with ambiguity neutral players are observationally equivalent. This … beliefs to the context of ambiguity aversion yields substantially di erent predictions even for the case with just two players. …

We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward … from the agent's ambiguity aversion. We show how to use these general results for search problems and American Options. …

We model and solve Best Choice Problems in the multiple prior framework: An ambiguity averse decision maker aims to … choose the best among a fixed number of applicants that appear sequentially in a random order. The decision faces ambiguity … stopping strategy is simple. Ambiguity can lead to substantial differences to the classical threshold rule. …

We consider optimal stopping problems for ambiguity averse decision makers with multiple priors. In general, backward …

We examine the impact of ambiguity on economic behaviour. We present a relatively non-technical account of ambiguity … and show how it may be applied in economics. Optimistic and pessimistic responses to ambiguity are formally modelled. We … also examine the effects of ambiguity on peace processes. It is shown that ambiguity can act to select equilibria in …