Modelling Uncertainty in Intelligent Systems - A Statistical Approach
نویسنده
چکیده
A complete description of intelligent or cognitive systems always requires a model of reasoning. In real world situations reasoning is never sharp. Therefore an interval statistical formalism is presented for reasoning under conditions of uncertainty on diierent levels. After a short outline of the theoretical foundations, the possibilities for a representation of psychological insights are discussed. Although substantial new aspects on the relationship between logic and statistics are provided the nal example and the discussion of other theories are largely tutorial.
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