no code implementations • 23 Mar 2023 • Didier Dubois, Lluis Godo, Henri Prade
Besides, the case of belief functions has been studied independently, and a belief function logic has been obtained by extending the modal logic S5 to graded modalities using {\L}ukasiewicz logic, albeit using relational semantics.
no code implementations • 13 Dec 2019 • Zied Bouraoui, Antoine Cornuéjols, Thierry Denœux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain
Some common concerns are identified and discussed such as the types of used representation, the roles of knowledge and data, the lack or the excess of information, or the need for explanations and causal understanding.
no code implementations • 15 Jan 2014 • Didier Dubois, Hélène Fargier, Jean-François Bonnefon
However, contraryto the latter framework that presupposes genuine numerical assessments, human agents often decide on the basis of an ordinal ranking of the pros and the cons, and by focusing on the most salient arguments.
no code implementations • 26 Sep 2013 • Nicolas Drougard, Florent Teichteil-Konigsbuch, Jean-Loup Farges, Didier Dubois
Possibilistic and qualitative POMDPs (pi-POMDPs) are counterparts of POMDPs used to model situations where the agent's initial belief or observation probabilities are imprecise due to lack of past experiences or insufficient data collection.
no code implementations • 13 Apr 2013 • Bruce D'Ambrosio, Didier Dubois, Philippe Smets, Michael Wellman
This is the Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, which was held in Stanford, CA, July 17-19, 1992
no code implementations • 27 Mar 2013 • Didier Dubois, Henri Prade
The relations between Spohn's model and possibility theory are emphasized and Spohn's updating rule is contrasted with the Jeffrey-like rule of conditioning in possibility theory.
no code implementations • 27 Mar 2013 • Didier Dubois, Jerome Lang, Henri Prade
In case where only lower bounds of necessity measures are involved, a semantics is proposed, in which the completeness of the extended resolution principle is proved.
no code implementations • 27 Mar 2013 • Didier Dubois, Henri Prade
This paper advocates the usefulness of new theories of uncertainty for the purpose of modeling some facets of uncertain knowledge, especially vagueness, in AI.