Probabilistic reasoning in expert systems - theory and algorithms
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A Review of “ Probabilistic reasoning in expert systems — theory and algorithms ”
My initial feeling on coming across “Probabilistic reasoning in expert systems” was one of amazement. I was astonished that anyone could think that it was a good idea to produce a book that paralleled Judea Pearl’s [1988] seminal work on Bayesian networks to the extent of having an almost identical title, and included a re-explanation of Pearl’s theoretical work on probability propagation. On s...
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We present a probabilistic logic programming framework that allows the representation of conditional probabilities. While conditional probabilities are the most commonly used method for representing uncertainty in probabilistic expert systems, they have been largely neglected by work in quantitative logic programming. We de-ne a xpoint theory, declarative semantics, and proof procedure for the ...
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تاریخ انتشار 1990