This papers investigates the computation of lower/upper expectations that must cohere with a collection of probabilistic assessments and a collection of judgements of epistemic in...
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
This paper addresses the problem of market risk management for a company in the electricity industry. When dealing with corporate volumetric exposure, there is a need for a method...
Daniel Berleant, Mathieu Dancre, Jean-Philippe Arg...
Possibilistic networks and possibilistic logic bases are important tools to deal with uncertain pieces of information. Both of them offer a compact representation of possibility ...
Logic and probability theory have both a long history in science. They are mainly rooted in philosophy and mathematics, but are nowadays important tools in many other fields such...
This article presents a probabilistic logic whose sentences can be interpreted as asserting the acceptability of gambles described in terms of an underlying logic. This probabilis...
The “Ellsberg phenomenon” has played a significant role in research on imprecise probabilities. Fox and Tversky [7] have attempted to explain this phenomenon in terms of thei...
This paper focuses on establishing envelope theorems for convex conditional lower previsions, a recently investigated class of imprecise previsions larger than coherent imprecise ...