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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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| Pubblicato in: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | 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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