There is currently much discussion about how decision making should proceed when an agent’s degrees of belief are imprecise; represented by a set of probability functions. I show that decision rules recently discussed by Sarah Moss, Susanna Rinard and Rohan Sud all suffer from the same defect: they all struggle to rationalise diachronic ambiguity aversion. Since ambiguity aversion is among the motivations for imprecise credence, this suggests that the search for an adequate imprecise decision rule is not yet over
The most usual procedure when facing decisions in complex settings consists in consulting experts, a...
Towards the end of Decision Theory with a Human Face (2017), Richard Bradley discusses various ways ...
Abstract We provide a model of decision making under uncertainty in which the decision maker reacts ...
There is currently much discussion about how decision making should proceed when an agent’s degrees ...
suggested that uncertain beliefs in light of evidence are best represented by sets of probability fu...
We axiomatize a model of decision under objective ambiguity or imprecise risk. The decision maker fo...
International audienceWe develop an axiomatic approach to decision under uncertainty that explicitly...
Cahier de recherche du groupe HECThis paper proposes a model of the decision-maker's confidence in h...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111950/1/j.1520-8583.2010.00194.x.pd
A great deal of research demonstrates a variety of ways in which people\u27s judgments violate the l...
Coherent imprecise probabilistic beliefs are modelled as incomplete comparative likelihood relations...
There has been much recent interest in imprecise probabilities, models of belief that allow unsharp ...
Formal epistemologists traditionally model rational states of partial belief with probability measur...
Those who model doxastic states with a set of probability functions, rather than a single function, ...
Ambiguity aversion is one of the most investigated phenomenon in decision theory. Ambiguity refers t...
The most usual procedure when facing decisions in complex settings consists in consulting experts, a...
Towards the end of Decision Theory with a Human Face (2017), Richard Bradley discusses various ways ...
Abstract We provide a model of decision making under uncertainty in which the decision maker reacts ...
There is currently much discussion about how decision making should proceed when an agent’s degrees ...
suggested that uncertain beliefs in light of evidence are best represented by sets of probability fu...
We axiomatize a model of decision under objective ambiguity or imprecise risk. The decision maker fo...
International audienceWe develop an axiomatic approach to decision under uncertainty that explicitly...
Cahier de recherche du groupe HECThis paper proposes a model of the decision-maker's confidence in h...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111950/1/j.1520-8583.2010.00194.x.pd
A great deal of research demonstrates a variety of ways in which people\u27s judgments violate the l...
Coherent imprecise probabilistic beliefs are modelled as incomplete comparative likelihood relations...
There has been much recent interest in imprecise probabilities, models of belief that allow unsharp ...
Formal epistemologists traditionally model rational states of partial belief with probability measur...
Those who model doxastic states with a set of probability functions, rather than a single function, ...
Ambiguity aversion is one of the most investigated phenomenon in decision theory. Ambiguity refers t...
The most usual procedure when facing decisions in complex settings consists in consulting experts, a...
Towards the end of Decision Theory with a Human Face (2017), Richard Bradley discusses various ways ...
Abstract We provide a model of decision making under uncertainty in which the decision maker reacts ...