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  1. The organization of expert systems, a tutorial.Mark Stefik, Jan Aikins, Robert Balzer, John Benoit, Lawrence Birnbaum, Frederick Hayes-Roth & Earl Sacerdoti - 1982 - Artificial Intelligence 18 (2):135-173.
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  • The use of design descriptions in automated diagnosis.Michael R. Genesereth - 1984 - Artificial Intelligence 24 (1-3):411-436.
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  • Reasoning about nonlinear system identification.Elizabeth Bradley, Matthew Easley & Reinhard Stolle - 2001 - Artificial Intelligence 133 (1-2):139-188.
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  • Modeling digital circuits for troubleshooting.Walter C. Hamscher - 1991 - Artificial Intelligence 51 (1-3):223-271.
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  • Enhancement schemes for constraint processing: Backjumping, learning, and cutset decomposition.Rina Dechter - 1990 - Artificial Intelligence 41 (3):273-312.
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  • Diagnostic reasoning based on structure and behavior.Randall Davis - 1984 - Artificial Intelligence 24 (1-3):347-410.
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  • Reasoning about model accuracy.Daniel S. Weld - 1992 - Artificial Intelligence 56 (2-3):255-300.
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  • Tree clustering for constraint networks.Rina Dechter & Judea Pearl - 1989 - Artificial Intelligence 38 (3):353-366.
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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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  • How circuits work.Johan De Kleer - 1984 - Artificial Intelligence 24 (1-3):205-280.
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  • Theories of causal ordering.Johan de Kleer & John Seely Brown - 1986 - Artificial Intelligence 29 (1):33-61.
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  • Diagnosing multiple faults.Johan de Kleer & Brian C. Williams - 1987 - Artificial Intelligence 32 (1):97-130.
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  • Cmpositional modeling: finding the right model for the job.Brian Falkenhainer & Kenneth D. Forbus - 1991 - Artificial Intelligence 51 (1-3):95-143.
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  • Constraint satisfaction using constraint logic programming.Pascal Van Hentenryck, Helmut Simonis & Mehmet Dincbas - 1992 - Artificial Intelligence 58 (1-3):113-159.
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  • Some fundamental properties of local constraint propagation.Hans-Werner Güsgen & Joachim Hertzberg - 1988 - Artificial Intelligence 36 (2):237-247.
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  • Constraint propagation with interval labels.Ernest Davis - 1987 - Artificial Intelligence 32 (3):281-331.
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  • SALT: A knowledge acquisition language for propose-and-revise systems.Sandra Marcus & John McDermott - 1989 - Artificial Intelligence 39 (1):1-37.
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