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  1. The plan recognition problem: An intersection of psychology and artificial intelligence.C. F. Schmidt, N. S. Sridharan & J. L. Goodson - 1978 - Artificial Intelligence 11 (1-2):45-83.
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  • Interpretation as abduction.Jerry R. Hobbs, Mark E. Stickel, Douglas E. Appelt & Paul Martin - 1993 - Artificial Intelligence 63 (1-2):69-142.
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  • Cost-based abduction and MAP explanation.Eugene Charniak & Solomon Eyal Shimony - 1994 - Artificial Intelligence 66 (2):345-374.
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  • A Bayesian model of plan recognition.Eugene Charniak & Robert P. Goldman - 1993 - Artificial Intelligence 64 (1):53-79.
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  • Finding MAPs for belief networks is NP-hard.Solomon Eyal Shimony - 1994 - Artificial Intelligence 68 (2):399-410.
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  • A linear constraint satisfaction approach to cost-based abduction.Eugene Santos - 1994 - Artificial Intelligence 65 (1):1-27.
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  • The sensitivity of belief networks to imprecise probabilities: an experimental investigation.Malcolm Pradhan, Max Henrion, Gregory Provan, Brendan Del Favero & Kurt Huang - 1996 - Artificial Intelligence 85 (1-2):363-397.
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  • Probabilistic Horn abduction and Bayesian networks.David Poole - 1993 - Artificial Intelligence 64 (1):81-129.
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  • Circumscription — A Form of Non-Monotonic Reasoning.John McCarthy - 1980 - Artificial Intelligence 13 (1-2):27–39.
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  • Temporal constraint networks.Rina Dechter, Itay Meiri & Judea Pearl - 1991 - Artificial Intelligence 49 (1-3):61-95.
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  • The computational complexity of probabilistic inference using bayesian belief networks.Gregory F. Cooper - 1990 - Artificial Intelligence 42 (2-3):393-405.
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