most citedUsing arguments for making decisions: A possibilistic logic approach

50 citations · 209 across the 23 of their papers we have counts for

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23 papers

cs.AI2013

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…

cs.AI2013

Positive and Negative Explanations of Uncertain Reasoning in the Framework of Possibility Theory

Henri Farrency, Henri Prade

This paper presents an approach for developing the explanation capabilities of rule-based expert systems managing imprecise and uncertain knowledge. The treatment of uncertainty ta…

cs.AI2013

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…

cs.AI201343 cited

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…

cs.AI2013

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…

cs.AI20131 cited

Constraint Propagation with Imprecise Conditional Probabilities

Stephane Amarger, Didier Dubois, Henri Prade

An approach to reasoning with default rules where the proportion of exceptions, or more generally the probability of encountering an exception, can be at least roughly assessed is…