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  1. Downward refinement and the efficiency of hierarchical problem solving.Fahiem Bacchus & Qiang Yang - 1994 - Artificial Intelligence 71 (1):43-100.
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  • Steps Toward Artificial Intelligence.Marvin Minsky - unknown
    Received by the IRE, October 24, 1960. The author's work summarized here—which was done at the MIT Lincoln Laboratory, a center for research operated by MIT at Lexington, Mass., with the joint Support of the U. S. Army, Navy, and Air Force under Air Force Contract AF 19-5200; and at the Res. Lab. of Electronics, MIT, Cambridge, Mass., which is supported in part by the U. S. Army Signal Corps, the Air Force Office of Scientific Research, and the ONR—is based (...)
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  • Macro-operators: A weak method for learning.Richard E. Korf - 1985 - Artificial Intelligence 26 (1):35-77.
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  • Quantitative results concerning the utility of explanation-based learning.Steven Minton - 1990 - Artificial Intelligence 42 (2-3):363-391.
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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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  • Heuristic search viewed as path finding in a graph.Ira Pohl - 1970 - Artificial Intelligence 1 (3-4):193-204.
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  • Perimeter search.John F. Dillenburg & Peter C. Nelson - 1994 - Artificial Intelligence 65 (1):165-178.
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  • Automatically generating abstractions for planning.Craig A. Knoblock - 1994 - Artificial Intelligence 68 (2):243-302.
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  • Toward a model of representation changes.Richard E. Korf - 1980 - Artificial Intelligence 14 (1):41-78.
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  • Concept learning and heuristic classification in weak-theory domains.Bruce W. Porter, Ray Bareiss & Robert C. Holte - 1990 - Artificial Intelligence 45 (1-2):229-263.
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  • Semantic interpretation and ambiguity.Graeme Hirst - 1988 - Artificial Intelligence 34 (2):131-177.
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  • A structural theory of explanation-based learning.Oren Etzioni - 1993 - Artificial Intelligence 60 (1):93-139.
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  • Heuristic search through islands.P. P. Chakrabarti, S. Ghose & S. C. DeSarkar - 1986 - Artificial Intelligence 29 (3):339-347.
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  • Depth-first iterative-deepening.Richard E. Korf - 1985 - Artificial Intelligence 27 (1):97-109.
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  • Planning in a hierarchy of abstraction spaces.Earl D. Sacerdoti - 1974 - Artificial Intelligence 5 (2):115-135.
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  • A new result on the complexity of heuristic estimates for the A★ algorithm.Othar Hansson, Andrew Mayer & Marco Valtorta - 1992 - Artificial Intelligence 55 (1):129-143.
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  • Algorithms for searching explicit AND/OR graphs and their applications to problem reduction search.P. P. Chakrabarti - 1994 - Artificial Intelligence 65 (2):329-345.
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