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Depth-Bounded Approximations of Probability

We introduce measures of uncertainty that are based on Depth-Bounded Logics [4] and resemble belief functions. We show that our measures can be seen as approximation of classical probability measures over classical logic, and that a variant of the PSAT [10] problem for them is solvable in polynomial...

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Detalhes bibliográficos
Publicado no:Information Processing and Management of Uncertainty in Knowledge-Based Systems
Main Authors: Baldi, Paolo, D’Agostino, Marcello, Hosni, Hykel
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274758/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50153-2_45
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