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20042013
most citedNo More Pesky Learning Rates

289 citations

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7 papers · 1 filter

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.AI201311 cited

Numerical Representations of Acceptance

Didier Dubois, Henri Prade

Accepting a proposition means that our confidence in this proposition is strictly greater than the confidence in its negation. This paper investigates the subclass of uncertainty m…

cs.AI20137 cited

Coping with the Limitations of Rational Inference in the Framework of Possibility Theory

Salem Benferhat, Didier Dubois, Henri Prade

Possibility theory offers a framework where both Lehmann's "preferential inference" and the more productive (but less cautious) "rational closure inference" can be represented. How…

cs.AI2013

Qualitative Decision Theory with Sugeno Integrals

Didier Dubois, Henri Prade, Regis Sabbadin

This paper presents an axiomatic framework for qualitative decision under uncertainty in a finite setting. The corresponding utility is expressed by a sup-min expression, called Su…

cs.AI201213 cited

A Unified framework for order-of-magnitude confidence relations

Didier Dubois, Helene Fargier

The aim of this work is to provide a unified framework for ordinal representations of uncertainty lying at the crosswords between possibility and probability theories. Such confide…

cs.AI201227 cited

A unified setting for inference and decision: An argumentation-based approach

Leila Amgoud

Inferring from inconsistency and making decisions are two problems which have always been treated separately by researchers in Artificial Intelligence. Consequently, different mode…