Intentions: choice first, commitment follows
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Journal of Mathematical Psychology
Decision making under incomplete data using the imprecise Dirichlet model
International Journal of Approximate Reasoning
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We introduce a general model of static choice under uncertainty, arguably the weakest model achieving a separation of cardinal utility and a unique representation of beliefs. Most of the nonexpected utility models existing in the literature are special cases of it. Such separation is motivated by the view that tastes are constant, whereas beliefs change with new information. The model has a simple and natural axiomatization.Elsewhere (forthcoming), we show that it can be very helpful in the characterization of a notion of ambiguity aversion, as separating utility and beliefs allows us to identify and remove aspects of risk attitude from the decision maker's behavior. Here we show that the model allows us to generalize several results on the characterization of risk aversion in betting behavior. These generalizations are of independent interest, as they show that some traditional results for subjective expected utility preferences can be formulated only in terms of binary acts.