Decision making under uncertainty is a key issue in information fusion and logic based reasoning approaches. The aim of this paper is to show noteworthy theoretical and applicational issues in the area of decision making under uncertainty that have been already done and raise new open research related to these topics pointing out promising and challenging research gaps that should be addressed in the coming future in order to improve the resolution of decision making problems under uncertainty.Decision making under uncertainty is a key issue in information fusion and logic based reasoning approaches. The aim of this paper is to show noteworthy theoretical and applicational issues in the area of decision making under uncertainty that have be...
International audienceArgumentation-based decision provides a way for explaining choices which are a...
This practical guidebook describes the basic concepts, the mathematical developments, and the engine...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
Decision making under uncertainty is a key issue in information fusion and logic based reasoning app...
Decision making under uncertainty is a key issue in information fusion and logic based reasoning app...
In this paper, the uncertainties that enter through the life-cycle of an information fusion system a...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
There exist techniques for decision making under specific types of uncertainty, such as probabilisti...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
In this paper we focus on two often considered distinct aims, namely maximizing of an utility functi...
In this note, we stress the relevance of developing tools for modelling uncertainty in information m...
International audienceWe propose and advocate basic principles for the fusion of incomplete or uncer...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
AbstractWe propose and advocate basic principles for the fusion of incomplete or uncertain informati...
International audienceArgumentation-based decision provides a way for explaining choices which are a...
This practical guidebook describes the basic concepts, the mathematical developments, and the engine...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
Decision making under uncertainty is a key issue in information fusion and logic based reasoning app...
Decision making under uncertainty is a key issue in information fusion and logic based reasoning app...
In this paper, the uncertainties that enter through the life-cycle of an information fusion system a...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
There exist techniques for decision making under specific types of uncertainty, such as probabilisti...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
In this paper we focus on two often considered distinct aims, namely maximizing of an utility functi...
In this note, we stress the relevance of developing tools for modelling uncertainty in information m...
International audienceWe propose and advocate basic principles for the fusion of incomplete or uncer...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
AbstractWe propose and advocate basic principles for the fusion of incomplete or uncertain informati...
International audienceArgumentation-based decision provides a way for explaining choices which are a...
This practical guidebook describes the basic concepts, the mathematical developments, and the engine...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...