P. Snow. The emergence of ordered belief from initial ignorance. In Proc., 12th Nat. Conf. on AI, pages 281--286, Menlo Park, CA/ Cambridge, MA, 1994. AAAI Press/ MIT.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....be useful for a user. This paper proposes a new method to extract such rules from tables, where all attributes are assumed to be binary, i.e. are true or false) The extraction of these rules is based on the identification of particular probability distributions, the big stepped probabilities [9][10] In these distributions, the probability of each elementary event is greater than the sum of the probabilities of all events which are less probable than . It has been shown by Benferhat et al. 3] that big stepped probability distributions (bsp) play an important role non monotonic ....

....case, the set of probability distributions which satisfy such constraints, for a given set of default rules , does not verify System . One solution is then to consider particular probability distributions : the big stepped probability distributions. These distributions were introduced by Snow [9] under the name of atomic bound system and applied by Benferhat et al. 3] to non monotonic reasoning . In the following, bsp is short for big stepped probability distribution. Let 6 87:9P 8 be the cardinality of set . We first define quasi linear probability distributions. Definition ....

P. Snow. The emergence of ordered belief from initial ignorance. In Proc. of the 12th National Conf. on Artificial Intelligence (AAAI'94), Seattle, pages 281--286, 1994.

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P. Snow. The emergence of ordered belief from initial ignorance. In Proc., 12th Nat. Conf. on AI, pages 281--286, Menlo Park, CA/ Cambridge, MA, 1994. AAAI Press/ MIT.

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