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  1. Abstraction and approximate decision-theoretic planning.Richard Dearden & Craig Boutilier - 1997 - Artificial Intelligence 89 (1-2):219-283.
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  • Iterative state-space reduction for flexible computation.Weixiong Zhang - 2001 - Artificial Intelligence 126 (1-2):109-138.
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  • Searching stochastically generated multi-abstraction-level design spaces.Louis Steinberg - 2001 - Artificial Intelligence 129 (1-2):63-90.
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  • Coalitions among computationally bounded agents.Tuomas W. Sandhlom & Victor R. T. Lesser - 1997 - Artificial Intelligence 94 (1-2):99-137.
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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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  • A general programming language for unified planning and control.Richard Levinson - 1995 - Artificial Intelligence 76 (1-2):319-375.
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  • Bargaining with limited computation: Deliberation equilibrium.Kate Larson & Tuomas Sandholm - 2001 - Artificial Intelligence 132 (2):183-217.
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  • Feature Subset Selection by Bayesian network-based optimization.I. Inza, P. Larrañaga, R. Etxeberria & B. Sierra - 2000 - Artificial Intelligence 123 (1-2):157-184.
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  • Principles and applications of continual computation.Eric Horvitz - 2001 - Artificial Intelligence 126 (1-2):159-196.
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  • Monitoring and control of anytime algorithms: A dynamic programming approach.Eric A. Hansen & Shlomo Zilberstein - 2001 - Artificial Intelligence 126 (1-2):139-157.
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  • Optimal schedules for monitoring anytime algorithms.Lev Finkelstein & Shaul Markovitch - 2001 - Artificial Intelligence 126 (1-2):63-108.
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