Abstract
It is already clear, from the discussion of the last chapter, how we are going to define probability: We shall say that the probability of a statement of the form ┏x∈y┓, relative to a strictly consistent body of knowledge w is the interval [p, q], whenever relative to the rational corpus w, x is a random member of z, with respect to membership in y’s and we know (in w) that the proportion of y’s among z’s lies in the interval [p, q]. Furthermore, again, in accordance with a remark made in the last chapter, we shall say that the probability of any statement s is [p, q], relative to w, just when s is connected by a biconditional chain in w to ┏x∈n┓, and the probability of ┏x∈y┓, relative to w, is [p, q]. Finally, we take account of more general (not necessarily strictly consistent) rational corpora by stipulating that the probability of a statement s, relative to the rational corpus w, is [p, q] just in case the probability of s, relative to every maximal consistent subset of w is [p, q].
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© 1974 D. Reidel Publishing Company, Dordrecht, Holland
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Kyburg, H.E. (1974). Probability. In: The Logical Foundations of Statistical Inference. Synthese Library, vol 65. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-2175-3_10
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DOI: https://doi.org/10.1007/978-94-010-2175-3_10
Publisher Name: Springer, Dordrecht
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