This paper presents a decision theory which allows subjects to account for the uncertainties of their probability estimates. This is accomplished by modelling beliefs about states of nature by means of a class of probability measures. In order to represent uncertainties of those beliefs a measure of epistemic reliability is introduced. The suggested decision theory is evaluated in the light of empirical evidence on ambiguity and uncertainty in decision making. The theory is also compared to Tversky & Kahneman's prospect theory
I explore the prospects for modelling epistemic rationality (in the probabilist setting) via an epi...
Cahier de recherche du groupe HECThis paper proposes a model of the decision-maker's confidence in h...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
The paper incorporates qualitative differences of probabilistic beliefs into a rational (or normativ...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
AbstractThis paper presents a new axiomatic decision theory for choice under uncertainty. Unlike Bay...
This paper compares Evidence Theory (ET) and Bayesian Theory (BT) for uncertainty modeling and decis...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
We study decision problems in which consequences of the various alternative actions depend on states...
We inevitably see the universe from a human point of view and communicate in terms shaped by the exi...
Abstract. Decision Making is certainly the most important task of a manager and it is often a very d...
This paper presents conditions under which a person's beliefs about the occurrence of uncertain even...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
International audienceThis paper is a survey of qualitative decision theory focusing on available de...
I explore the prospects for modelling epistemic rationality (in the probabilist setting) via an epi...
Cahier de recherche du groupe HECThis paper proposes a model of the decision-maker's confidence in h...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
The paper incorporates qualitative differences of probabilistic beliefs into a rational (or normativ...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
AbstractThis paper presents a new axiomatic decision theory for choice under uncertainty. Unlike Bay...
This paper compares Evidence Theory (ET) and Bayesian Theory (BT) for uncertainty modeling and decis...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
We study decision problems in which consequences of the various alternative actions depend on states...
We inevitably see the universe from a human point of view and communicate in terms shaped by the exi...
Abstract. Decision Making is certainly the most important task of a manager and it is often a very d...
This paper presents conditions under which a person's beliefs about the occurrence of uncertain even...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
International audienceThis paper is a survey of qualitative decision theory focusing on available de...
I explore the prospects for modelling epistemic rationality (in the probabilist setting) via an epi...
Cahier de recherche du groupe HECThis paper proposes a model of the decision-maker's confidence in h...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...