Representations of Uncertainty in AI: Beyond Probability and Possibility
Résumé
This chapter completes the survey of the existing frameworks for representing uncertain and incomplete information, started in the previous chapter of this volume. The theory of belief functions and the theory of imprecise probabilities are presented. The latter setting is mathematically more general than the former, and both include probability theory and quantitative possibility theory as particular cases. Their respective knowledge representation capabilities are highlighted.
Domaines
Intelligence artificielle [cs.AI]Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...