2021
DOI: 10.1016/j.ijar.2021.02.004
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Logics of imprecise comparative probability

Abstract: This paper studies connections between two alternatives to the standard probability calculus for representing and reasoning about uncertainty: imprecise probability and comparative probability. The goal is to identify complete logics for reasoning about uncertainty in a comparative probabilistic language whose semantics is given in terms of imprecise probability. Comparative probability operators are interpreted as quantifying over a set of probability measures. Modal and dynamic operators are added for reason… Show more

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Cited by 5 publications
(7 citation statements)
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“…In response to a preprint version of this paper, Koudijs[54] defined notions of dependence bisimulation for our dependence models as well as their modal relational versions, and proved a Characterization Theorem for LFD as a fragment of FOL that is invariant under dependence bisimulations. A similar characterization of LFD was found independently in Pútzstück[68] 31. Even so, some natural epistemic notions lack an obvious match in LFD.…”
supporting
confidence: 74%
See 2 more Smart Citations
“…In response to a preprint version of this paper, Koudijs[54] defined notions of dependence bisimulation for our dependence models as well as their modal relational versions, and proved a Characterization Theorem for LFD as a fragment of FOL that is invariant under dependence bisimulations. A similar characterization of LFD was found independently in Pútzstück[68] 31. Even so, some natural epistemic notions lack an obvious match in LFD.…”
supporting
confidence: 74%
“…LFD-style dependence goes by universal quantification over all assignments. But as we observed, one can soften this, as in non-monotonic default logics, by going to models where the semantic dependence holds only in the most plausible cases, or only with high probability in some qualitative sense, [31]. In that case, the agenda for LFD becomes wide open again.…”
Section: Discussionmentioning
confidence: 91%
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“…For a brief example of how probability measures on ortholattices can be used to interpret probabilistic language, we consider comparative probability operators, 'at least as likely as' ( ) and 'more likely than' (≻), as studied in, e.g., Kratzer 1991, Yalcin 2010, and Ding et al 2021 Let PL be the language generated by the grammar…”
Section: Probabilitymentioning
confidence: 99%
“…We now define weak and strict comparative probability operators from our sets of measures, as in Ding et al 2021. As before, we use the same symbols for algebraic operations on propositions as for symbols of our formal language, trusting that no confusion will arise.…”
Section: Probabilitymentioning
confidence: 99%