© 2021 Elsevier Inc.The α-MEU model and the smooth ambiguity model are two popular models in decision making under ambiguity. However, the axiomatic foundations of these two models are not completely understood. We provide axiomatic foundations of these models in a symmetric setting with a product state space S∞. This setting allows marginals over S to be linked behaviorally with (limiting frequency) events. Bets on such events are shown to reveal the i.i.d. measures that are relevant for the decision maker's preferences and appear in the representations. By characterizing both models within a common framework, it becomes possible to better compare and relate them.N
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
During recent decades, many new models have emerged in pure and applied economic theory according to...
We define a behavioral concept of relevance in the context of decision making under uncertainty. We...
The α-MEU model and the smooth ambiguity model are two popular models in decision making under ambig...
We propose and axiomatize a model of preferences over acts such that the decision maker prefers act ...
We propose and axiomatize a model of preferences over acts such that the decision maker prefers act ...
We propose and axiomatize a model of preferences over acts such that the decision maker prefers act ...
We propose and characterize a model of preferences over acts such that the decision maker prefers ac...
In the Anscombe-Aumann setup, we provide conditions for a collection of observations to be consisten...
We propose and axiomatize a model of preferences over acts such that the decision maker evaluates ac...
We propose and characterize a model of preferences over acts such that the decision maker prefers ac...
We propose and characterize a model of preferences over acts such that the decision maker prefers ac...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
During recent decades, many new models have emerged in pure and applied economic theory according to...
We define a behavioral concept of relevance in the context of decision making under uncertainty. We...
The α-MEU model and the smooth ambiguity model are two popular models in decision making under ambig...
We propose and axiomatize a model of preferences over acts such that the decision maker prefers act ...
We propose and axiomatize a model of preferences over acts such that the decision maker prefers act ...
We propose and axiomatize a model of preferences over acts such that the decision maker prefers act ...
We propose and characterize a model of preferences over acts such that the decision maker prefers ac...
In the Anscombe-Aumann setup, we provide conditions for a collection of observations to be consisten...
We propose and axiomatize a model of preferences over acts such that the decision maker evaluates ac...
We propose and characterize a model of preferences over acts such that the decision maker prefers ac...
We propose and characterize a model of preferences over acts such that the decision maker prefers ac...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
This paper axiomatizes an intertemporal version of the Smooth Ambiguity decision model developed in ...
During recent decades, many new models have emerged in pure and applied economic theory according to...
We define a behavioral concept of relevance in the context of decision making under uncertainty. We...