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  1. First order LUB approximations: characterization and algorithms.Alvaro del Val - 2005 - Artificial Intelligence 162 (1-2):7-48.
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  • Defaults and relevance in model-based reasoning.Roni Khardon & Dan Roth - 1997 - Artificial Intelligence 97 (1-2):169-193.
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  • Ordered binary decision diagrams as knowledge-bases.Takashi Horiyama & Toshihide Ibaraki - 2002 - Artificial Intelligence 136 (2):189-213.
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  • The complexity of theory revision.Russell Greiner - 1999 - Artificial Intelligence 107 (2):175-217.
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  • Symbolic knowledge extraction from trained neural networks: A sound approach.A. S. D'Avila Garcez, K. Broda & D. M. Gabbay - 2001 - Artificial Intelligence 125 (1-2):155-207.
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  • What makes propositional abduction tractable.Gustav Nordh & Bruno Zanuttini - 2008 - Artificial Intelligence 172 (10):1245-1284.
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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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  • On functional dependencies in q-Horn theories.Toshihide Ibaraki, Alexander Kogan & Kazuhisa Makino - 2001 - Artificial Intelligence 131 (1-2):171-187.
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  • On the hardness of approximate reasoning.Dan Roth - 1996 - Artificial Intelligence 82 (1-2):273-302.
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