Search Results for author: Henri Prade

Found 11 papers, 1 papers with code

Analogical Proportions and Creativity: A Preliminary Study

no code implementations20 Oct 2023 Stergos Afantenos, Henri Prade, Leonardo Cortez Bernardes

Analogical proportions are statements of the form "$a$ is to $b$ as $c$ is to $d$", which expresses that the comparisons of the elements in pair $(a, b)$ and in pair $(c, d)$ yield similar results.

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An elementary belief function logic

no code implementations23 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.

Some recent advances in reasoning based on analogical proportions

no code implementations22 Dec 2022 Myriam Bounhas, Henri Prade, Gilles Richard

Analogical proportions compare pairs of items (a, b) and (c, d) in terms of their differences and similarities.

Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999)

no code implementations13 Apr 2013 Kathryn Laskey, Henri Prade

This is the Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, which was held in Stockholm Sweden, July 30 - August 1, 1999

Updating with Belief Functions, Ordinal Conditioning Functions and Possibility Measures

no code implementations27 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.

Automated Reasoning Using Possibilistic Logic: Semantics, Belief Revision and Variable Certainty Weights

no code implementations27 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.

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

no code implementations27 Mar 2013 Henri Farrency, Henri Prade

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

Modeling uncertain and vague knowledge in possibility and evidence theories

no code implementations27 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.

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