130 citations · 442 across the 28 of their papers we have counts for
22 papers · 1 filter
Qualitative Possibilistic Mixed-Observable MDPs
Nicolas Drougard, Florent Teichteil-Konigsbuch, Jean-Loup Farges +1
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…
Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (1992)
Bruce D'Ambrosio, Didier Dubois, Philippe Smets +1
This is the Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, which was held in Stanford, CA, July 17-19, 1992
Modeling uncertain and vague knowledge in possibility and evidence theories
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. It can be viewed as…
Automated Reasoning Using Possibilistic Logic: Semantics, Belief Revision and Variable Certainty Weights
Didier Dubois, Jerome Lang, Henri Prade
In this paper an approach to automated deduction under uncertainty,based on possibilistic logic, is proposed ; for that purpose we deal with clauses weighted by a degree which is a…
Updating with Belief Functions, Ordinal Conditioning Functions and Possibility Measures
Didier Dubois, Henri Prade
This paper discusses how a measure of uncertainty representing a state of knowledge can be updated when a new information, which may be pervaded with uncertainty, becomes available…
A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency
Jerome Lang, Didier Dubois, Henri Prade
A semantics is given to possibilistic logic, a logic that handles weighted classical logic formulae, and where weights are interpreted as lower bounds on degrees of certainty or po…