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  1. Planning in a hierarchy of abstraction spaces.Earl D. Sacerdoti - 1974 - Artificial Intelligence 5 (2):115-135.
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  • Theorem proving with abstraction.David A. Plaisted - 1981 - Artificial Intelligence 16 (1):47-108.
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  • Diagnostic reasoning based on structure and behavior.Randall Davis - 1984 - Artificial Intelligence 24 (1-3):347-410.
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  • 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.
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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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  • Finding optimal derivation strategies in redundant knowledge bases.Russell Greiner - 1991 - Artificial Intelligence 50 (1):95-115.
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  • Cmpositional modeling: finding the right model for the job.Brian Falkenhainer & Kenneth D. Forbus - 1991 - Artificial Intelligence 51 (1-3):95-143.
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  • A theory of abstraction.Fausto Giunchiglia & Toby Walsh - 1992 - Artificial Intelligence 57 (2-3):323-389.
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  • Acquiring search-control knowledge via static analysis.Oren Etzioni - 1993 - Artificial Intelligence 62 (2):255-301.
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  • A high-performance explanation-based learning algorithm.Alberto Segre & Charles Elkan - 1994 - Artificial Intelligence 69 (1-2):1-50.
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  • The relevance of relevance.Devika Subramanian, Russell Greiner & Judea Pearl - 1997 - Artificial Intelligence 97 (1-2):1-5.
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  • A logical notion of conditional independence: properties and applications.Adnan Darwiche - 1997 - Artificial Intelligence 97 (1-2):45-82.
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  • On the logic of relevance.Peter Gärdenfors - 1993 - In Jacques Dubucs (ed.), Philosophy of Probability. Kluwer, Dordrecht. pp. 35--54.
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  • On the logic of relevance.Peter Gärdenfors - 1978 - Synthese 37 (3):351 - 367.
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  • Whither relevance logic?Arnon Avron - 1992 - Journal of Philosophical Logic 21 (3):243 - 281.
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