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  1. Linear resolution for consequence finding.Katsumi Inoue - 1992 - Artificial Intelligence 56 (2-3):301-353.
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  • On strongest necessary and weakest sufficient conditions☆☆An earlier version of this paper was the co-winner of the Best Paper Award at KR2000.Fangzhen Lin - 2001 - Artificial Intelligence 128 (1-2):143-159.
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  • Reasoning with models.Roni Khardon & Dan Roth - 1996 - Artificial Intelligence 87 (1-2):187-213.
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  • Structure identification in relational data.Rina Dechter & Judea Pearl - 1992 - Artificial Intelligence 58 (1-3):237-270.
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  • Horn approximations of empirical data.Henry Kautz, Michael Kearns & Bart Selman - 1995 - Artificial Intelligence 74 (1):129-145.
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  • Support set selection for a bductive and default reasoning.Bart Selman & Hector J. Levesque - 1996 - Artificial Intelligence 82 (1-2):259-272.
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  • An algorithm to compute circumscription.Teodor C. Przymusinski - 1989 - Artificial Intelligence 38 (1):49-73.
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  • Characterizing diagnoses and systems.Johan de Kleer, Alan K. Mackworth & Raymond Reiter - 1992 - Artificial Intelligence 56 (2-3):197-222.
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  • Semantical and computational aspects of Horn approximations.Marco Cadoli & Francesco Scarcello - 2000 - Artificial Intelligence 119 (1-2):1-17.
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  • A note on linear resolution strategies in consequence-finding.Eliana Minicozzi & Raymond Reiter - 1972 - Artificial Intelligence 3 (C):175-180.
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