- Problems of extension, representation, and computational irreducibility.Patrick Suppes - 1990 - Behavioral and Brain Sciences 13 (3):507-508.details
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Category learning: Things aren't so black and white.John R. Anderson - 1986 - Behavioral and Brain Sciences 9 (4):651-651.details
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Relevant features and statistical models of generalization.James E. Corter - 1986 - Behavioral and Brain Sciences 9 (4):653-654.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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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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Category differences/automaticity.Edward E. Smith - 1986 - Behavioral and Brain Sciences 9 (4):667-667.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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The cognitive revolution: a historical perspective.George A. Miller - 2003 - Trends in Cognitive Sciences 7 (3):141-144.details
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(1 other version)The discovery of the artificial: some protocybernetic developments 1930-1940.Roberto Cordeschi - 1991 - Artificial Intelligence and Society 5 (3):218-238.details
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The what and why of binding: The modeler's perspective.Christoph von der Malsburg - 1999 - Neuron 24:95-104.details
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(1 other version)Some philosophical problems from the standpoint of artificial intelligence.John McCarthy & Patrick Hayes - 1969 - In B. Meltzer & Donald Michie (eds.), Machine Intelligence 4. Edinburgh University Press. pp. 463--502.details
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Other bodies, other minds: A machine incarnation of an old philosophical problem. [REVIEW]Stevan Harnad - 1991 - Minds and Machines 1 (1):43-54.details
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An Alternative to Cognitivism: Computational Phenomenology for Deep Learning.Pierre Beckmann, Guillaume Köstner & Inês Hipólito - 2023 - Minds and Machines 33 (3):397-427.details
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The well-designed young mathematician.Aaron Sloman - 2008 - Artificial Intelligence 172 (18):2015-2034.details
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Interactions between philosophy and artificial intelligence: The role of intuition and non-logical reasoning in intelligence.Aaron Sloman - 1971 - Artificial Intelligence 2 (3-4):209-225.details
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The nature of heuristics.Douglas B. Lenat - 1982 - Artificial Intelligence 19 (2):189-249.details
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Downward refinement and the efficiency of hierarchical problem solving.Fahiem Bacchus & Qiang Yang - 1994 - Artificial Intelligence 71 (1):43-100.details
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(4 other versions)Philosophy and theory of artificial intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.details
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Philosophy of Modeling: Neglected Pages of History.Karlis Podnieks - 2018 - Baltic Journal of Modern Computing 6 (3):279–303.details
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(1 other version)Speeding up problem solving by abstraction: a graph oriented approach.R. C. Holte, T. Mkadmi, R. M. Zimmer & A. J. MacDonald - 1996 - Artificial Intelligence 85 (1-2):321-361.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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Connectionist models: Too little too soon?William Timberlake - 1990 - Behavioral and Brain Sciences 13 (3):508-509.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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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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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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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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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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Are there really two types of learning?Yorick Wilks - 1986 - Behavioral and Brain Sciences 9 (4):671-671.details
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Complementing explanation with induction.Clark Glymour - 1986 - Behavioral and Brain Sciences 9 (4):655-656.details
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Rats, responses and reinforcers: Using a little psychology on our subjects.Peter R. Killeen - 1994 - Behavioral and Brain Sciences 17 (1):157-172.details
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Animal-centered models of reinforcement.William Timberlake - 1994 - Behavioral and Brain Sciences 17 (1):153-154.details
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How general is a general theory of reinforcement?Stephen F. Walker - 1994 - Behavioral and Brain Sciences 17 (1):154-155.details
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Moving beyond schedules and rate: A new trajectory?Gregory Galbicka - 1994 - Behavioral and Brain Sciences 17 (1):139-140.details
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Has learning been shown to be attractor modification within reinforcement modelling?Robert A. M. Gregson - 1994 - Behavioral and Brain Sciences 17 (1):140-141.details
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Integration and specificity of retrieval in a memory-based model of reinforcement.Marvin D. Krank - 1994 - Behavioral and Brain Sciences 17 (1):142-143.details
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Memories and functional response units.Kennon A. Lattal & Josele Abreu-Rodrigues - 1994 - Behavioral and Brain Sciences 17 (1):143-144.details
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From overt behavior to hypothetical behavior to memory: Inference in the wrong direction.Howard Rachlin - 1994 - Behavioral and Brain Sciences 17 (1):147-148.details
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Natural Language Processing With Modular Pdp Networks and Distributed Lexicon.Risto Miikkulainen & Michael G. Dyer - 1991 - Cognitive Science 15 (3):343-399.details
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On language and connectionism: Analysis of a parallel distributed processing model of language acquisition.Steven Pinker & Alan Prince - 1988 - Cognition 28 (1-2):73-193.details
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SCALa: A blueprint for computational models of language acquisition in social context.Sho Tsuji, Alejandrina Cristia & Emmanuel Dupoux - 2021 - Cognition 213 (C):104779.details
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Network-based heuristics for constraint-satisfaction problems.Rina Dechter & Judea Pearl - 1987 - Artificial Intelligence 34 (1):1-38.details
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How much of commonsense and legal reasoning is formalizable? A review of conceptual obstacles.James Franklin - 2012 - Law, Probability and Risk 11:225-245.details
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Associationist Theories of Thought.Eric Mandelbaum - 2015 - Stanford Encyclopedia of Philosophy.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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But what is the substance of connectionist representation?James Hendler - 1990 - Behavioral and Brain Sciences 13 (3):496-497.details
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Of what use categories?Ruth Garrett Millikan - 1986 - Behavioral and Brain Sciences 9 (4):663-664.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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What defines a legitimate issue for Skinnerian psychology: Philosophy or technology?Hank Davis - 1994 - Behavioral and Brain Sciences 17 (1):137-138.details
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The response problem.Robert C. Bolles - 1994 - Behavioral and Brain Sciences 17 (1):135-136.details
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Short-term memory in human operant conditioning.Frode Svartdal - 1994 - Behavioral and Brain Sciences 17 (1):152-153.details
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