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handle: 2099/2620 , 11578/1659
Some probabilistic inference rules which can be compared with the inference rules of preferential logic are given and it will be shown how they work in graphical models, allowing qualitative plausible reasoning in Bayesian networks.
Logic in artificial intelligence, typicality, belief revision, computational efficiency, inductive logic, contraction, preferential logic, Probability and inductive logic, :68 Computer science::68T Artificial intelligence [Classificació AMS], qualitative inference rules, expansion, Bayesian networks, Classificació AMS::68 Computer science::68T Artificial intelligence, Knowledge representation, Representació del coneixement (Teoria de la informació)
Logic in artificial intelligence, typicality, belief revision, computational efficiency, inductive logic, contraction, preferential logic, Probability and inductive logic, :68 Computer science::68T Artificial intelligence [Classificació AMS], qualitative inference rules, expansion, Bayesian networks, Classificació AMS::68 Computer science::68T Artificial intelligence, Knowledge representation, Representació del coneixement (Teoria de la informació)
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