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The impact of representation on the efficacy of Artificial intelligence: The case of genetic algorithms. [REVIEW]Robert Zimmer, Robert Holte & Alan MacDonald - 1997 - AI and Society 11 (1-2):76-87.details
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Model-lite planning: Case-based vs. model-based approaches.Hankz Hankui Zhuo & Subbarao Kambhampati - 2017 - Artificial Intelligence 246 (C):1-21.details
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Learning hierarchical task network domains from partially observed plan traces.Hankz Hankui Zhuo, Héctor Muñoz-Avila & Qiang Yang - 2014 - Artificial Intelligence 212 (C):134-157.details
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Learning problem solving strategies using refinement and macro generation.H. Altay Güvenir & George W. Ernst - 1990 - Artificial Intelligence 44 (1-2):209-243.details
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The computational complexity of propositional STRIPS planning.Tom Bylander - 1994 - Artificial Intelligence 69 (1-2):165-204.details
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CPCES: A planning framework to solve conformant planning problems through a counterexample guided refinement.Alban Grastien & Enrico Scala - 2020 - Artificial Intelligence 284 (C):103271.details
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Planning as search: A quantitative approach.Richard E. Korf - 1987 - Artificial Intelligence 33 (1):65-88.details
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A structural theory of explanation-based learning.Oren Etzioni - 1993 - Artificial Intelligence 60 (1):93-139.details
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Sokoban: Enhancing general single-agent search methods using domain knowledge.Andreas Junghanns & Jonathan Schaeffer - 2001 - Artificial Intelligence 129 (1-2):219-251.details
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Quantitative results concerning the utility of explanation-based learning.Steven Minton - 1990 - Artificial Intelligence 42 (2-3):363-391.details
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Engineering and compiling planning domain models to promote validity and efficiency.T. L. McCluskey & J. M. Porteous - 1997 - Artificial Intelligence 95 (1):1-65.details
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Automatically generating abstractions for planning.Craig A. Knoblock - 1994 - Artificial Intelligence 68 (2):243-302.details
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Getting to Best: Efficiency versus Optimality in Negotiation.Elaine B. Hyder, Michael J. Prietula & Laurie R. Weingart - 2000 - Cognitive Science 24 (2):169-204.details
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(1 other version)Speeding up problem solving by abstraction: a graph oriented approach.R. C. Holte, T. Mkadmi, R. M. Zimmer & A. J. MacDonald - 1996 - Artificial Intelligence 85 (1-2):321-361.details
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Task modeling with reusable problem-solving methods.Henrik Eriksson, Yuval Shahar, Samson W. Tu, Angel R. Puerta & Mark A. Musen - 1995 - Artificial Intelligence 79 (2):293-326.details
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A framework for analysing state-abstraction methods.Christer Bäckström & Peter Jonsson - 2022 - Artificial Intelligence 302 (C):103608.details
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Using genetic programming to learn and improve control knowledge.Ricardo Aler, Daniel Borrajo & Pedro Isasi - 2002 - Artificial Intelligence 141 (1-2):29-56.details
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