This chapiter of a collective book is dedicated to classical decision models under uncertainty, i.e. under situations where events do not have "objective" probabilities with which the Decision Marker agrees. We present successively the two main theories, their axiomatic, the interpretation and...

Dow and Welang (1994) extended the notion of Nash equilibrium for two-player finite normal games when players are uncertainty on the behavior of his opponents. They showed the existence of equilibrium for any given degree of uncertainty however constant over all possible events, except the null...

Results in this note relate the observation of an interval of prices at which a DM strictly prefers to hold a zero position on an asset (termed `bid-ask behavior`) to the DM`s perception of the underlying payoff relevant events as ambiguous, as the term is defined in Epstein and Zhang (2001)....

Following the ideas of Bohr, Von Neumann, and Benioff, we formulate quantum decision theory (QDT) as the quantum-mechanical theory of measurement for probability operators. QDT captures the effect of superposition of composite prospects, including many incorporated intentions. It is based on the...

This paper considers learning when the distinction between risk and ambiguity (Knightian uncertainty) matters. Working within the framework of recursive multiple-priors utility, the paper formulates a counterpart of the Bayesian model of learning about an uncertain parameter from conditionally...

One possible conclusion from recent experimental research on decision making under risk is that observed behaviour can be reasonable accommodated by expected utility plus an error term. This conclusion implies that the violation rate of expected utility should decrease if errors are excluded....

We characterize, in the framework for variational preferences, the affective decision making model of choice under risk and uncertainty introduced by Bracha and Brown (2007). This characterization (i) provides a rigorus decision-theoretic foundation for affective decision making, (ii) offers an...

This chapiter of a collective book is dedicated to classical decision models under uncertainty, i.e. under situations where events do not have "objective" probabilities with which the Decision Marker agrees. We present successively the two main theories, their axiomatic, the interpretation and...