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  1. 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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  • Decision Theory and Artificial Intelligence II: The Hungry Monkey.Jerome A. Feldman & Robert F. Sproull - 1977 - Cognitive Science 1 (2):158-192.
    First paper introducing probabilisitic decision theory methods to AI problem solving.
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  • Strips: A new approach to the application of theorem proving to problem solving.Richard E. Fikes & Nils J. Nilsson - 1971 - Artificial Intelligence 2 (3-4):189-208.
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  • Explaining and repairing plans that fail.Kristian J. Hammond - 1990 - Artificial Intelligence 45 (1-2):173-228.
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  • Modeling a dynamic and uncertain world I.Steve Hanks & Drew McDermott - 1994 - Artificial Intelligence 66 (1):1-55.
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  • Planning for conjunctive goals.David Chapman - 1987 - Artificial Intelligence 32 (3):333-377.
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  • A geometric approach to error detection and recovery for robot motion planning with uncertainty.Bruce R. Donald - 1988 - Artificial Intelligence 37 (1-3):223-271.
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  • Reasoning about partially ordered events.Thomas Dean & Mark Boddy - 1988 - Artificial Intelligence 36 (3):375-399.
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