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  1. Reasoning about model accuracy.Daniel S. Weld - 1992 - Artificial Intelligence 56 (2-3):255-300.
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  • Categorical and probabilistic reasoning in medicine revisited.Peter Szolovits & Stephen G. Pauker - 1993 - Artificial Intelligence 59 (1-2):167-180.
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  • Efficient compositional modeling for generating causal explanations.P. Pandurang Nayak & Leo Joskowicz - 1996 - Artificial Intelligence 83 (2):193-227.
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  • Causal approximations.P. Pandurang Nayak - 1994 - Artificial Intelligence 70 (1-2):277-334.
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  • Remote Agent: to boldly go where no AI system has gone before.Nicola Muscettola, P. Pandurang Nayak, Barney Pell & Brian C. Williams - 1998 - Artificial Intelligence 103 (1-2):5-47.
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  • Diagnosis based on explicit means-end models.Jan Eric Larsson - 1996 - Artificial Intelligence 80 (1):29-93.
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  • Diagnosis of discrete-event systems from uncertain temporal observations.Gianfranco Lamperti & Marina Zanella - 2002 - Artificial Intelligence 137 (1-2):91-163.
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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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  • Retrospective on “Diagnostic reasoning based on structure and behavior”.Randall Davis - 1993 - Artificial Intelligence 59 (1-2):149-157.
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  • Hierarchical model-based diagnosis based on structural abstraction.Luca Chittaro & Roberto Ranon - 2004 - Artificial Intelligence 155 (1-2):147-182.
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  • A spectrum of definitions for temporal model-based diagnosis.Vittorio Brusoni, Luca Console, Paolo Terenziani & Daniele Theseider Dupré - 1998 - Artificial Intelligence 102 (1):39-79.
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  • Qualitative and quantitative simulation: bridging the gap.Daniel Berleant & Benjamin J. Kuipers - 1997 - Artificial Intelligence 95 (2):215-255.
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