| Kraus, S., Lehmann D., and Magidor, M. Nonmonotonic Reasoning, Preferential Models and Cumulative Logics. Artificial Intelligence 44,pages 167-207. Elsevier Science Publisher (1990). |
....reasoning. They are able to go beyond the deductively valid conclusions, but they are also able to determine whether there exists relevant information interfering with the generation of certain conclusions. In approaches to default reasoning based on conditional or intentional interpretations [15, 16, 8, 28, 22, 6] the notion of relevance appears when the incorporation of some relevant condition to the antecedent of a conditional results in a more exceptional (or less normal) situation, in which case the previously maintained conclusion must be retracted, or a conclusion that was omitted before must be ....
Kraus, S., Lehmann D., and Magidor, M. Nonmonotonic Reasoning, Preferential Models and Cumulative Logics. Artificial Intelligence 44,pages 167-207. Elsevier Science Publisher (1990).
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