Combinatorial semantics:

Abstract: "In ordinary first order logic, a valid inference in a language L is one in which the conclusion is true in every model of the language in which the premises are true. To accomodate inductive/uncertain/probabilistic/non-monotonic inference, we weaken that demand to the demand that the...

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Bibliographische Detailangaben
1. Verfasser: Kyburg, Henry Ely 1928-2007 (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Rochester, NY 1992
Schriftenreihe:University of Rochester <Rochester, NY> / Department of Computer Science: Technical report 444
Schlagworte:
Zusammenfassung:Abstract: "In ordinary first order logic, a valid inference in a language L is one in which the conclusion is true in every model of the language in which the premises are true. To accomodate inductive/uncertain/probabilistic/non-monotonic inference, we weaken that demand to the demand that the conclusion be true in a large proportion of the models in which the premises are true. More generally, we say that an inference is [p, q] valid if it is true in a proportion lying between p and q of those models in which the premises are true. If we include a statistical variable binding operator '%' in our language, there are many quite general things we can say about uncertain validity."
Beschreibung:23 S.

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