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On the relations between intelligent backtracking and failure-driven explanation-based learning in constraint satisfaction and planning
Artificial Intelligence 105 (1-2):161-208 (1998)
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Citations of this work
Planning as constraint satisfaction: Solving the planning graph by compiling it into CSP.Minh Binh Do & Subbarao Kambhampati - 2001 - Artificial Intelligence 132 (2):151-182.
Planning the project management way: Efficient planning by effective integration of causal and resource reasoning in RealPlan.Biplav Srivastava, Subbarao Kambhampati & Minh B. Do - 2001 - Artificial Intelligence 131 (1-2):73-134.
State space search nogood learning: Online refinement of critical-path dead-end detectors in planning.Marcel Steinmetz & Jörg Hoffmann - 2017 - Artificial Intelligence 245 (C):1-37.
References found in this work
Forward reasoning and dependency-directed backtracking in a system for computer-aided circuit analysis.Richard M. Stallman & Gerald J. Sussman - 1977 - Artificial Intelligence 9 (2):135-196.
Enhancement schemes for constraint processing: Backjumping, learning, and cutset decomposition.Rina Dechter - 1990 - Artificial Intelligence 41 (3):273-312.
Quantitative results concerning the utility of explanation-based learning.Steven Minton - 1990 - Artificial Intelligence 42 (2-3):363-391.
Explanation-based learning:A problem solving perspective.Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel R. Kuokka, Oren Etzioni & Yolanda Gil - 1989 - Artificial Intelligence 40 (1-3):63-118.
A theoretical evaluation of selected backtracking algorithms.Grzegorz Kondrak & Peter van Beek - 1997 - Artificial Intelligence 89 (1-2):365-387.
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