Answering Queries from Context-Sensitive Probabilistic Knowledge Bases

Abstract

We deene a language for representing context-sensitive probabilistic knowledge. A knowledge base consists of a set of universally quantiied probability sentences that include context constraints, which allow inference to be focused on only the relevant portions of the probabilistic knowledge. We provide a declarative semantics for our language. We present a… (More)
DOI: 10.1016/S0304-3975(96)00128-4

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