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How to reason defeasibly Pollock J. Artificial Intelligence 57(1): 1-42, 1992. Type: Article
Representation of and reasoning on nonmonotonic, defeasible knowledge are important. This subject has a wide body of literature; for example, Pearl [1] and Geffner [2] give rankings of models and relative defaults (higher ranked models...
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Sep 1 1993 |