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A propositional probabilistic logic with discrete linear time for reasoning about evidence. (English) Zbl 1269.03033
The introduction and Section 2 of this paper are devoted to setting this paper in a wider context. To this end, the authors trace the combination of logic and probability back to Leibniz, Bernoulli, Laplace and other great historic figures. For the purposes of this paper the most relevant modern-day work is one of J. Y. Halpern and R. Pucella [J. Artif. Intell. Res. (JAIR) 26, 1–34 (2006; Zbl 1182.68244)] which contained an open question. This paper is aimed at answering this question.
In Section 3 the authors introduce a propositional logic which allows reasoning about evidence, prior and posterior probabilities, for which they define syntax and semantics. For a deducibility relation with countably many deduction steps the authors prove that the introduced logic is strongly complete.
The fourth section is devoted to a propositional logic for evidence and hypotheses that is enriched by two temporal operators, one operator for “next” and one operator for “until”. This logic is shown to be sound and strongly complete.
Section 5 contains the conclusions. Here the authors explain why their completeness results required infinitary inference rules by considering the example of polynomials of odd degree over the real numbers.

##### MSC:
 03B62 Combined logics 03B44 Temporal logic 68T27 Logic in artificial intelligence
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##### References:
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