- Transcending inductive category formation in learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):639-651.details
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Are there really two types of learning?Yorick Wilks - 1986 - Behavioral and Brain Sciences 9 (4):671-671.details
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Transcending “transcending…”.Stephen Jośe Hanson - 1986 - Behavioral and Brain Sciences 9 (4):656-657.details
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Second-generation AI theories of learning.David Kirsh - 1986 - Behavioral and Brain Sciences 9 (4):658-659.details
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Induction and explanation: Complementary models of learning.Pat Langley - 1986 - Behavioral and Brain Sciences 9 (4):661-662.details
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Integrated Learning: Controlling Explanation.Michael Lebowitz - 1986 - Cognitive Science 10 (2):219-240.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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Making Sense of Raw Input.Richard Evans, Matko Bošnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli & Marek Sergot - 2021 - Artificial Intelligence 299 (C):103521.details
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A review of possible effects of cognitive biases on interpretation of rule-based machine learning models. [REVIEW]Tomáš Kliegr, Štěpán Bahník & Johannes Fürnkranz - 2021 - Artificial Intelligence 295 (C):103458.details
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Discovering patterns in sequences of events.Thomas G. Dietterich & Ryszard S. Michalski - 1985 - Artificial Intelligence 25 (2):187-232.details
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Variable precision logic.Ryszard S. Michalski & Patrick H. Winston - 1986 - Artificial Intelligence 29 (2):121-146.details
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Computational Models of Consciousness: An Evaluation.Ron Sun - 1999 - Journal of Intelligent Systems 9 (5-6):507-568.details
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A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.Thomas K. Landauer & Susan T. Dumais - 1997 - Psychological Review 104 (2):211-240.details
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Some origins of belief.Daniel N. Osherson, Edward E. Smith & Eldar B. Shafir - 1986 - Cognition 24 (3):197-224.details
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Mental models and probabilistic thinking.Philip N. Johnson-Laird - 1994 - Cognition 50 (1-3):189-209.details
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Toward a cognitive science of category learning.Robert L. Campbell & Wendy A. Kellogg - 1986 - Behavioral and Brain Sciences 9 (4):652-653.details
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When explanation is too hard (or understanding hijacking for novices).Michael Lebowitz - 1986 - Behavioral and Brain Sciences 9 (4):662-663.details
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The hard questions about noninductive learning remain unanswered.Eric Wanner - 1986 - Behavioral and Brain Sciences 9 (4):670-670.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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The Logic of Plausible Reasoning: A Core Theory.Allan Collins & Ryszard Michalski - 1989 - Cognitive Science 13 (1):1-49.details
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Rules vs. analogy in English past tenses: a computational/experimental study.Adam Albright & Bruce Hayes - 2003 - Cognition 90 (2):119-161.details
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The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.Ron Sun - 2005 - Psychological Review 112 (1):159-192.details
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Deduction and induction: Reasoning through mental models. [REVIEW]Bruno G. Bara & Monica Bucciarelli - 2000 - Mind and Society 1 (1):95-107.details
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The development of features in object concepts.Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut - 1998 - Behavioral and Brain Sciences 21 (1):1-17.details
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The importance of cognitive architectures: An analysis based on CLARION.Ron Sun - unknowndetails
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A knowledge engineering framework for intelligent retrieval of legal case studies.Adel Saadoun, Jean-Louis Ermine, Claude Belair & Jean-Mark Pouyot - 1997 - Artificial Intelligence and Law 5 (3):179-205.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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Conceptual inductive learning.Miroslav Kubat - 1991 - Artificial Intelligence 52 (2):169-182.details
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Rule-plus-exception model of classification learning.Robert M. Nosofsky, Thomas J. Palmeri & Stephen C. McKinley - 1994 - Psychological Review 101 (1):53-79.details
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Rejecting induction: Using occam's razor too soon.J. T. Tolliver - 1986 - Behavioral and Brain Sciences 9 (4):669-670.details
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Clarity, generality, and efficiency in models of learning: Wringing the MOP.Kevin T. Kelly - 1986 - Behavioral and Brain Sciences 9 (4):657-658.details
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Induction and probability.Henry E. Kyburg - 1986 - Behavioral and Brain Sciences 9 (4):660-660.details
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Theory-laden concepts: Great, but what is the next step?Charles P. Shimp - 1986 - Behavioral and Brain Sciences 9 (4):666-667.details
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A Default‐Oriented Theory of Procedural Semantics.Robert F. Hadley - 1989 - Cognitive Science 13 (1):107-137.details
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What is computational intelligence and where is it going?Włodzisław Duch - 2007 - In Wlodzislaw Duch & Jacek Mandziuk (eds.), Challenges for Computational Intelligence. Springer. pp. 1--13.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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Conceptual clustering of structured objects: A goal-oriented approach.Robert E. Stepp & Ryszard S. Michalski - 1986 - Artificial Intelligence 28 (1):43-69.details
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The learning of function and the function of learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):672-686.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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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.details
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The psychology of category learning: Current status and future prospect.Gregory L. Murphy - 1986 - Behavioral and Brain Sciences 9 (4):664-665.details
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Approaches, assumptions, and goals in modeling cognitive behavior.Richard E. Pastore & David G. Payne - 1986 - Behavioral and Brain Sciences 9 (4):665-666.details
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Intelligent Diagnosis Systems.K. Balakrishnan & V. Honavar - 1998 - Journal of Intelligent Systems 8 (3-4):239-290.details
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The refinement of probabilistic rule sets: Sociopathic interactions.David C. Wilkins & Yong Ma - 1994 - Artificial Intelligence 70 (1-2):1-32.details
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The pragmatics of induction.Paul Thagard - 1986 - Behavioral and Brain Sciences 9 (4):668-669.details
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Machine learning: An artificial intelligence approach.Mark J. Stefik - 1985 - Artificial Intelligence 25 (2):236-238.details
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Salvaging parts of the “classical theory” of categorization.Dan Sperber - 1986 - Behavioral and Brain Sciences 9 (4):668-668.details
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Category differences/automaticity.Edward E. Smith - 1986 - Behavioral and Brain Sciences 9 (4):667-667.details
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An experimental evaluation of simplicity in rule learning.Ulrich Rückert & Luc De Raedt - 2008 - Artificial Intelligence 172 (1):19-28.details
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Theory refinement combining analytical and empirical methods.Dirk Ourston & Raymond J. Mooney - 1994 - Artificial Intelligence 66 (2):273-309.details
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