Add to ORKGOn the example of physics, we show that the traditional one-level description is not completely adequate. For a more adequate structure, a hierarchical description of uncertainty is necessary, which supplements the more traditional first-order uncertainty with second-order, third-order and more sophisticated models. In particular, the second-order approach seems to provide a bridge between probabilistic and fuzzy approaches to uncertainty
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
We study elicitation of subjective beliefs of an agent facing ambiguity (model uncertainty): the age...
International audienceThis paper pursues previous studies concerning the foundations of a possibilit...
On the example of physics, we show that the traditional one-level description is not completely adeq...
Uncertainty is very important in risk analysis. A natural way to describe this uncertainty is to des...
Second-order uncertainty, also known as model uncertainty and Knightian uncertainty, arises when dec...
To describe experts\u27 uncertainty in a knowledge-based system, we usually use numbers from the int...
AbstractMany researchers have felt uncomfortable with the precision of degrees of belief that seems ...
There exist techniques for decision making under specific types of uncertainty, such as probabilisti...
Two different uncertainty expression and propagation approaches are presented and compared. In parti...
This research extends and supplements the considerations carried on in [10] and [11]. In the classic...
Different types of uncertainty are widely spread in all areas of human activity. Probabilistic uncer...
Two different uncertainty expression and propagation approaches are presented and compared. In parti...
Different types of uncertainty are widely spread in all areas of human activity. Probabilistic uncer...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
We study elicitation of subjective beliefs of an agent facing ambiguity (model uncertainty): the age...
International audienceThis paper pursues previous studies concerning the foundations of a possibilit...
On the example of physics, we show that the traditional one-level description is not completely adeq...
Uncertainty is very important in risk analysis. A natural way to describe this uncertainty is to des...
Second-order uncertainty, also known as model uncertainty and Knightian uncertainty, arises when dec...
To describe experts\u27 uncertainty in a knowledge-based system, we usually use numbers from the int...
AbstractMany researchers have felt uncomfortable with the precision of degrees of belief that seems ...
There exist techniques for decision making under specific types of uncertainty, such as probabilisti...
Two different uncertainty expression and propagation approaches are presented and compared. In parti...
This research extends and supplements the considerations carried on in [10] and [11]. In the classic...
Different types of uncertainty are widely spread in all areas of human activity. Probabilistic uncer...
Two different uncertainty expression and propagation approaches are presented and compared. In parti...
Different types of uncertainty are widely spread in all areas of human activity. Probabilistic uncer...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
We study elicitation of subjective beliefs of an agent facing ambiguity (model uncertainty): the age...
International audienceThis paper pursues previous studies concerning the foundations of a possibilit...