
arXiv: 2411.18849
Abstract This paper investigates logical consequence defined in terms of probability distributions, for a classical propositional language using a standard notion of probability. We examine three distinct probabilistic consequence notions, which we call material consequence, preservation consequence and symmetric consequence. While material consequence is fully classical for any threshold, preservation consequence and symmetric consequence are subclassical, with only symmetric consequence gradually approaching classical logic at the limit threshold equal to 1. Our results extend earlier results obtained by J. Paris in a $\text{Set-Fmla}$ setting to the Set-Set setting, and consider open thresholds beside closed ones. In the Set-Set setting, in particular, they reveal that probability 1 preservation does not yield classical logic, but supervaluationism, and conversely positive probability preservation yields subvaluationism.
FOS: Computer and information sciences, [SHS.PHIL] Humanities and Social Sciences/Philosophy, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Logic, Logic in Computer Science, Probability (math.PR), 03B48, 03B47, FOS: Mathematics, [MATH.MATH-LO] Mathematics [math]/Logic [math.LO], Logic (math.LO), Probability, Logic in Computer Science (cs.LO)
FOS: Computer and information sciences, [SHS.PHIL] Humanities and Social Sciences/Philosophy, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Logic, Logic in Computer Science, Probability (math.PR), 03B48, 03B47, FOS: Mathematics, [MATH.MATH-LO] Mathematics [math]/Logic [math.LO], Logic (math.LO), Probability, Logic in Computer Science (cs.LO)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
