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Automatic programming of behavior-based robots using reinforcement learning.Sridhar Mahadevan & Jonathan Connell - 1992 - Artificial Intelligence 55 (2-3):311-365.details
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Grammatically biased learning: Learning logic programs using an explicit antecedent description language.William W. Cohen - 1994 - Artificial Intelligence 68 (2):303-366.details
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On the Interaction of Theory and Data in Concept Learning.Edward J. Wisniewski & Douglas L. Medin - 1994 - Cognitive Science 18 (2):221-281.details
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Automatic knowledge base refinement for classification systems.Allen Ginsberg, Sholom M. Weiss & Peter Politakis - 1988 - Artificial Intelligence 35 (2):197-226.details
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Models of incremental concept formation.John H. Gennari, Pat Langley & Doug Fisher - 1989 - Artificial Intelligence 40 (1-3):11-61.details
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Creativity and learning in a case-based explainer.Roger C. Schank & David B. Leake - 1989 - Artificial Intelligence 40 (1-3):353-385.details
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A preliminary analysis of the Soar architecture as a basis for general intelligence.Paul S. Rosenbloom, John E. Laird, Allen Newell & Robert McCarl - 1991 - Artificial Intelligence 47 (1-3):289-325.details
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Categorizing Numeric Information for Generalization.Michael Lebowitz - 1985 - Cognitive Science 9 (3):285-308.details
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From implicit skills to explicit knowledge: a bottom‐up model of skill learning.Edward Merrillb & Todd Petersonb - 2001 - Cognitive Science 25 (2):203-244.details
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Inductive learning by machines.Stuart Russell - 1991 - Philosophical Studies 64 (October):37-64.details
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Word learning as Bayesian inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.details
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Computing programs for generalized planning using a classical planner.Javier Segovia-Aguas, Sergio Jiménez & Anders Jonsson - 2019 - Artificial Intelligence 272 (C):52-85.details
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Induction and the discovery of the causes of scurvy: a computational reconstruction.Vincent Corruble & Jean-Gabriel Ganascia - 1997 - Artificial Intelligence 91 (2):205-223.details
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Logical settings for concept-learning.Luc De Raedt - 1997 - Artificial Intelligence 95 (1):187-201.details
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Learning concepts by arranging appropriate training order.Yao-Tung Hsu, Tzung-Pei Hong & Shian-Shyong Tseng - 2001 - Minds and Machines 11 (3):399-415.details
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Integrating representation learning and skill learning in a human-like intelligent agent.Nan Li, Noboru Matsuda, William W. Cohen & Kenneth R. Koedinger - 2015 - Artificial Intelligence 219 (C):67-91.details
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Learning one subprocedure per lesson.Kurt VanLehn - 1987 - Artificial Intelligence 31 (1):1-40.details
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Learning Boolean concepts in the presence of many irrelevant features.Hussein Almuallim & Thomas G. Dietterich - 1994 - Artificial Intelligence 69 (1-2):279-305.details
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Learning, action, and consciousness: A hybrid approach toward modeling consciousness.Ron Sun - 1997 - Neural Networks 10:1317-33.details
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Version spaces and the consistency problem.Haym Hirsh, Nina Mishra & Leonard Pitt - 2004 - Artificial Intelligence 156 (2):115-138.details
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Exploiting the deep structure of constraint problems.Colin P. Williams & Tad Hogg - 1994 - Artificial Intelligence 70 (1-2):73-117.details
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Schema induction for logic program synthesis.Nancy Lynn Tinkham - 1998 - Artificial Intelligence 98 (1-2):1-47.details
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Learning structures of visual patterns from single instances.Yoshinori Suganuma - 1991 - Artificial Intelligence 50 (1):1-36.details
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Iterative versionspaces.Gunther Sablon, Luc De Raedt & Maurice Bruynooghe - 1994 - Artificial Intelligence 69 (1-2):393-409.details
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Using empirical analysis to refine expert system knowledge bases.Peter Politakis & Sholom M. Weiss - 1984 - Artificial Intelligence 22 (1):23-48.details
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A Computational Theory of Learning Causal Relationships.Michael Pazzani - 1991 - Cognitive Science 15 (3):401-424.details
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The description identification problem.Chris Mellish - 1991 - Artificial Intelligence 52 (2):151-167.details
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From statistical relational to neurosymbolic artificial intelligence: A survey.Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve & Luc De Raedt - 2024 - Artificial Intelligence 328 (C):104062.details
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Defining operationality for explanation-based learning.Richard M. Keller - 1988 - Artificial Intelligence 35 (2):227-241.details
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Computational approaches to analogical reasoning.Rogers P. Hall - 1989 - Artificial Intelligence 39 (1):39-120.details
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Simulation Models of the Influence of Learning Mode and Training Variance on Category Learning.Renée Elio & Kui Lin - 1994 - Cognitive Science 18 (2):185-219.details
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Permissive planning: extending classical planning to uncertain task domains.Gerald F. DeJong & Scott W. Bennett - 1997 - Artificial Intelligence 89 (1-2):173-217.details
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Generalized subsumption and its applications to induction and redundancy.Wray Buntine - 1988 - Artificial Intelligence 36 (2):149-176.details
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Constraint acquisition.Christian Bessiere, Frédéric Koriche, Nadjib Lazaar & Barry O'Sullivan - 2017 - Artificial Intelligence 244 (C):315-342.details
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Law, learning and representation.Kevin D. Ashley & Edwina L. Rissland - 2003 - Artificial Intelligence 150 (1-2):17-58.details
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Logical approaches to machine learning-an overview.P. Flach - 1992 - Think (misc) 1 (2):25-36.details
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