Adaptation of the certainty factor model to distributed and real-time reasoning systems
نویسنده
چکیده
Adaptation of certainty factor model to distributed and real-time reasoning systems is considered. The original model was created to perform reasoning under uncertainty in traditional expert systems. However, it can not be automatically generalised to distributed and real-time reasoning systems. Adaptation of certainty factor model to distributed and real-time reasoning systems is presented. This adaptation is based on the idea of described in the paper depropagation of the certainty factor and allows to use this model to the distributed and real-time reasoning systems.
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