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 accommodate inductive/uncertain/probabilistic nonmonotonic inference, we weaken that demand to the demand that the...

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Bibliographische Detailangaben
1. Verfasser: Kyburg, Henry Ely 1928- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Rochester, NY 1995
Schriftenreihe:University of Rochester <Rochester, NY> / Department of Computer Science: Technical report 563
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 accommodate inductive/uncertain/probabilistic nonmonotonic inference, we weaken that demand to the demand that the conclusion be true in a large proportion of the models in which the relevant premises are true. More generally, we say that an inference is [p, q] valid if its conclusion is true in a proportion lying between p and q of those models in which the relevant premises are true. If we include a statistical variable binding operator '%' in our language, there are many quite general (and useful) things we can say about uncertain validity. A surprising result is that some of these things may conflict with Bayesian Conditionalization."
Beschreibung:58 S. graph. Darst.

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