- Connectionism and classical computation.Nick Chater - 1990 - Behavioral and Brain Sciences 13 (3):493-494.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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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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On learnability, empirical foundations, and naturalness.W. J. M. Levelt - 1990 - Behavioral and Brain Sciences 13 (3):501-501.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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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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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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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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The return of the reinforcement theorists.C. D. L. Wynne - 1994 - Behavioral and Brain Sciences 17 (1):156-156.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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The cognitive revolution: a historical perspective.George A. Miller - 2003 - Trends in Cognitive Sciences 7 (3):141-144.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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(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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(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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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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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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Theory formation by heuristic search.Douglas B. Lenat - 1983 - Artificial Intelligence 21 (1-2):31-59.details
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A new approach to the symbolic factorization of multivariate polynomials.Billy G. Claybrook - 1976 - Artificial Intelligence 7 (3):203-241.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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Network-based heuristics for constraint-satisfaction problems.Rina Dechter & Judea Pearl - 1987 - Artificial Intelligence 34 (1):1-38.details
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Planning as search: A quantitative approach.Richard E. Korf - 1987 - Artificial Intelligence 33 (1):65-88.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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(4 other versions)Philosophy and theory of artificial intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.details
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Associationist Theories of Thought.Eric Mandelbaum - 2015 - Stanford Encyclopedia of Philosophy.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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Connectionist models: Too little too soon?William Timberlake - 1990 - Behavioral and Brain Sciences 13 (3):508-509.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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Induction and explanation: Complementary models of learning.Pat Langley - 1986 - Behavioral and Brain Sciences 9 (4):661-662.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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Validation of behavioural equations: Can neurobiology help?C. M. Bradshaw - 1994 - Behavioral and Brain Sciences 17 (1):136-137.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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Theory Construction in Psychology: The Interpretation and Integration of Psychological Data.Gordon M. Becker - 1981 - Theory and Decision 13 (3):251.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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The evaluative mind.Julia Haas - forthcoming - In Mind Design III.details
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Generalization learning techniques for automating the learning of heuristics.D. A. Waterman - 1970 - Artificial Intelligence 1 (1-2):121-170.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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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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What connectionists learn: Comparisons of model and neural nets.Bruce Bridgeman - 1990 - Behavioral and Brain Sciences 13 (3):491-492.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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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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New failures to learn.Barbara Landau - 1986 - Behavioral and Brain Sciences 9 (4):660-661.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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Mathematical principles of reinforcement.Peter R. Killeen - 1994 - Behavioral and Brain Sciences 17 (1):105-135.details
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Fifty years on: The new “principles of behavior”?J. H. Wearden - 1994 - Behavioral and Brain Sciences 17 (1):155-155.details
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Problems and pitfalls for Killeen's mathematical principles of reinforcement.Joseph J. Pear - 1994 - Behavioral and Brain Sciences 17 (1):146-147.details
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Cybernetics and Theoretical Approaches in 20th Century Brain and Behavior Sciences.Tara H. Abraham - 2006 - Biological Theory 1 (4):418-422.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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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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