- Levels of description and explanation in cognitive science.William Bechtel - 1994 - Minds and Machines 4 (1):1-25.details
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Acquisition and extinction in autoshaping.Sham Kakade & Peter Dayan - 2002 - Psychological Review 109 (3):533-544.details
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Common minds, uncommon thoughts: a philosophical anthropological investigation of uniquely human creative behavior, with an emphasis on artistic ability, religious reflection, and scientific study.Johan De Smedt - unknowndetails
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Can connectionism save constructivism?Gary F. Marcus - 1998 - Cognition 66 (2):153-182.details
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On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule‐Like Network Performance.Risto Miikkulainen, Regina Vollmeyer, Bruce D. Burns, Keith J. Holyoak, Maartje E. J. Raijmakers, Sylvester van Koten, Peter C. M. Molenaar, Daniel Jurafsky, Gerhard Weber & Giuseppe Mantovani - 1996 - Cognitive Science 20 (1):101-136.details
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Multiple Realizability Revisited: Linking Cognitive and Neural States.William Bechtel - 1999 - Philosophy of Science 66 (2):175-207.details
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Learning non-local dependencies.Gustav Kuhn & Zoltán Dienes - 2008 - Cognition 106 (1):184-206.details
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Can connectionism save constructivism?Gary F. Marcus - 1998 - Cognition 66 (2):153-182.details
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What can psychologists learn from hidden-unit nets?K. Lamberts & G. D'Ydewalle - 1990 - Behavioral and Brain Sciences 13 (3):499-500.details
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Keeping representations at bay.Stanley Munsat - 1990 - Behavioral and Brain Sciences 13 (3):502-503.details
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Learning from learned networks.M. Pavel - 1990 - Behavioral and Brain Sciences 13 (3):503-504.details
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Problems of extension, representation, and computational irreducibility.Patrick Suppes - 1990 - Behavioral and Brain Sciences 13 (3):507-508.details
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Expose hidden assumptions in network theory.Karl Haberlandt - 1990 - Behavioral and Brain Sciences 13 (3):495-496.details
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But what is the substance of connectionist representation?James Hendler - 1990 - Behavioral and Brain Sciences 13 (3):496-497.details
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Trading spaces: Computation, representation, and the limits of uninformed learning.Andy Clark & Chris Thornton - 1997 - Behavioral and Brain Sciences 20 (1):57-66.details
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Computational models of implicit learning.Axel Cleeremans & Zoltán Dienes - 2008 - In Ron Sun (ed.), The Cambridge handbook of computational psychology. New York: Cambridge University Press. pp. 396--421.details
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What's Special About the Development of the Human Mind/Brain?Annette Karmiloff-Smith & Andy Clark - 1993 - Mind and Language 8 (4):569-581.details
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Mechanistic explanation and the nature-nurture controversy.William Bechtel & Adele Abrahamsen - 2005 - Bulletin d'Histoire Et d'pistmologie Des Sciences de La Vie 12:75-100.details
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Do connectionist representations earn their explanatory keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.details
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Directions in Connectionist Research: Tractable Computations Without Syntactically Structured Representations.Jonathan Waskan & William Bechtel - 1997 - Metaphilosophy 28 (1‐2):31-62.details
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Approaches to learning and representation.Pat Langley - 1990 - Behavioral and Brain Sciences 13 (3):500-501.details
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Are connectionist models just statistical pattern classifiers?Richard M. Golden - 1990 - Behavioral and Brain Sciences 13 (3):494-495.details
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What connectionist models learn: Learning and representation in connectionist networks.Stephen José Hanson & David J. Burr - 1990 - Behavioral and Brain Sciences 13 (3):471-489.details
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Diversity and Unity of Modularity.Bongrae Seok - 2006 - Cognitive Science 30 (2):347-380.details
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Searle, subsymbolic functionalism, and synthetic intelligence.Diane Law - 1994details
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Statistical learning of tone sequences by human infants and adults.Jenny R. Saffran, Elizabeth K. Johnson, Richard N. Aslin & Elissa L. Newport - 1999 - Cognition 70 (1):27-52.details
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Connectionist learning and the challenge of real environments.Mark Weaver & Stephen Kaplan - 1990 - Behavioral and Brain Sciences 13 (3):510-511.details
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Domain-Creating Constraints.Robert L. Goldstone & David Landy - 2010 - Cognitive Science 34 (7):1357-1377.details
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Cognitive architecture and descent with modification☆.G. Marcus - 2006 - Cognition 101 (2):443-465.details
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Learning and representation: Tensions at the interface.Steven José Hanson - 1990 - Behavioral and Brain Sciences 13 (3):511-518.details
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Toward a unification of conditioning and cognition in animal learning.William S. Maki - 1990 - Behavioral and Brain Sciences 13 (3):501-502.details
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Currents in connectionism.William Bechtel - 1993 - Minds and Machines 3 (2):125-153.details
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VAMP (Voting Agent Model of Preferences): A computational model of individual multi-attribute choice.Anouk S. Bergner, Daniel M. Oppenheimer & Greg Detre - 2019 - Cognition 192 (C):103971.details
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Connectionist models learn what?Timothy van Gelder - 1990 - Behavioral and Brain Sciences 13 (3):509-510.details
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Relatively local neurons in a distributed representation: A neurophysiological perspective.Shabtai Barash - 1990 - Behavioral and Brain Sciences 13 (3):489-491.details
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Representational systems and symbolic systems.Gordon D. A. Brown & Mike Oaksford - 1990 - Behavioral and Brain Sciences 13 (3):492-493.details
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Is perception informationally encapsulated? The issue of the theory‐ladenness of perception.Athanassios Raftopoulos - 2001 - Cognitive Science 25 (3):423-451.details
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Hierarchical Incremental Class Learning with Output Parallelism.Sheng-Uei Guan & Kai Wang - 2007 - Journal of Intelligent Systems 16 (2):167-193.details
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The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.Clay B. Holroyd & Michael G. H. Coles - 2002 - Psychological Review 109 (4):679-709.details
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Advances in neural network theory.Gérard Toulouse - 1990 - Behavioral and Brain Sciences 13 (3):509-509.details
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A non-empiricist perspective on learning in layered networks.Michael I. Jordan - 1990 - Behavioral and Brain Sciences 13 (3):497-498.details
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Do Connectionist Representations Earn Their Explanatory Keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.details
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How connectionist models learn: The course of learning in connectionist networks.John K. Kruschke - 1990 - Behavioral and Brain Sciences 13 (3):498-499.details
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Realistic neural nets need to learn iconic representations.W. A. Phillips, P. J. B. Hancock & L. S. Smith - 1990 - Behavioral and Brain Sciences 13 (3):505-505.details
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There is more to learning then meeth the eye.Noel E. Sharkey - 1990 - Behavioral and Brain Sciences 13 (3):506-507.details
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Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations.Robert A. Jacobs & Stephen M. Kosslyn - 1994 - Cognitive Science 18 (3):361-386.details
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On learnability, empirical foundations, and naturalness.W. J. M. Levelt - 1990 - Behavioral and Brain Sciences 13 (3):501-501.details
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Subsymbolic Case‐Role Analysis of Sentences with Embedded Clauses.Risto Miikkulainen - 1996 - Cognitive Science 20 (1):47-73.details
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What is it like to be a patient with apperceptive agnosia?Shaun P. Vecera & Kendra S. Gilds - 1997 - Consciousness and Cognition 6 (2-3):237-66.details
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Connectionism and classical computation.Nick Chater - 1990 - Behavioral and Brain Sciences 13 (3):493-494.details
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