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  1. The power of physical representations.Varol Akman & Paul J. W. ten Hagen - 1989 - AI Magazine 10 (3):49-65.
    Commonsense reasoning about the physical world, as exemplified by "Iron sinks in water" or "If a ball is dropped it gains speed," will be indispensable in future programs. We argue that to make such predictions (namely, envisioning), programs should use abstract entities (such as the gravitational field), principles (such as the principle of superposition), and laws (such as the conservation of energy) of physics for representation and reasoning. These arguments are in accord with a recent study in physics instruction where (...)
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  • Constraint propagation with interval labels.Ernest Davis - 1987 - Artificial Intelligence 32 (3):281-331.
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  • How circuits work.Johan De Kleer - 1984 - Artificial Intelligence 24 (1-3):205-280.
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  • Analogical representations of naive physics.Francesco Gardin & Bernard Meltzer - 1989 - Artificial Intelligence 38 (2):139-159.
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  • Reasoning with qualitative models.Benjamin J. Kuipers - 1993 - Artificial Intelligence 59 (1-2):125-132.
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  • Qualitative system identification: deriving structure from behavior.A. C. Cem Say & Selahattin Kuru - 1996 - Artificial Intelligence 83 (1):75-141.
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  • A qualitative physics based on confluences.Johan De Kleer & John Seely Brown - 1984 - Artificial Intelligence 24 (1-3):7-83.
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  • Causal model progressions as a foundation for intelligent learning environments.Barbara Y. White & John R. Frederiksen - 1990 - Artificial Intelligence 42 (1):99-157.
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  • A critical examination of Allen's theory of action and time.Antony Galton - 1990 - Artificial Intelligence 42 (2-3):159-188.
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  • The topology of boundaries.Margaret M. Fleck - 1996 - Artificial Intelligence 80 (1):1-27.
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  • Semi-quantitative system identification.Herbert Kay, Bernhard Rinner & Benjamin Kuipers - 2000 - Artificial Intelligence 119 (1-2):103-140.
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  • Qualitative simulation: then and now.Benjamin J. Kuipers - 1993 - Artificial Intelligence 59 (1-2):133-140.
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  • Qualitative kinematics in mechanisms.Boi Faltings - 1990 - Artificial Intelligence 44 (1-2):89-119.
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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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  • Qualitative analysis of MOS circuits.Brian C. Williams - 1984 - Artificial Intelligence 24 (1-3):281-346.
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  • Qualitative spatial reasoning: The CLOCK project.Kenneth D. Forbus, Paul Nielsen & Boi Faltings - 1991 - Artificial Intelligence 51 (1-3):417-471.
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  • Higher-order derivative constraints in qualitative simulation.Benjamin J. Kuipers, Charles Chiu, David T. Dalle Molle & D. R. Throop - 1991 - Artificial Intelligence 51 (1-3):343-379.
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  • Qualitative reasoning about physical systems: A return to roots.Brian C. Williams & Johan de Kleer - 1991 - Artificial Intelligence 51 (1-3):1-9.
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  • On the Role of Biomedical Knowledge in Clinical Reasoning by Experts, Intermediates and Novices.Henny P. A. Boshuizen & Henk G. Schmidt - 1992 - Cognitive Science 16 (2):153-184.
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  • Qualitative simulation.Benjamin Kuipers - 1986 - Artificial Intelligence 29 (3):289-338.
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  • An extension of QSIM with qualitative curvature.Abul Hossain & Kumar S. Ray - 1997 - Artificial Intelligence 96 (2):303-350.
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  • Causal Reasoning in Medicine: Analysis of a Protocol.Benjamin Kuipers & Jerome P. Kassirer - 1984 - Cognitive Science 8 (4):363-385.
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