Bayesian Knowledge -
نویسندگان
چکیده
Managing uncertainty in complex domains requires a exible and semantically sound knowledge representation. This is especially important during the initial knowledge engineering and subsequent maintenance of the knowledge base. We present a new model of knowledge representation called Bayesian Knowledge Bases. It uniies a \if-then" style rules with probability theory. We can prove that such a merger remains fully probabilistic and yet maintains full exibility and intuitiveness.
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