Argumentation and Inconsistency-Tolerant Reasoning - Archive ouverte HAL
Chapitre D'ouvrage Année : 2020

Argumentation and Inconsistency-Tolerant Reasoning

Résumé

This chapter is devoted to logical models for reasoning from contradictory information. It deals with methods, such as argumentation, that refrain from giving up any piece of information (by contrast with revision, as discussed in chapter “Main Issues in Belief Revision, Belief Merging and Information Fusion” of this volume). The baseline is to get the best, resorting to various possibilities, from the available information in order to reason in the most sensible way despite contradictions.
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Dates et versions

hal-02651115 , version 1 (29-05-2020)

Identifiants

Citer

Leila Amgoud, Philippe Besnard, Claudette Cayrol, Philippe Chatalic, Marie-Christine Lagasquie-Schiex. Argumentation and Inconsistency-Tolerant Reasoning. Pierre Marquis; Odile Papini; Henri Prade. A Guided Tour of Artificial Intelligence Research, Springer International Publishing, pp.415-440, 2020, ⟨10.1007/978-3-030-06164-7_13⟩. ⟨hal-02651115⟩
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