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The shift of Artificial Intelligence research from academia to industry: implications and possible future directions.Miguel Angelo de Abreu de Sousa - forthcoming - AI and Society:1-10.details
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The b-I-c-a of biologically inspired cognitive architectures.Andrea Stocco, Christian Lebiere & Alexei V. Samsonovich - 2010 - International Journal of Machine Consciousness 2 (2):171-192.details
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Naturalistic Approaches to Creativity.Dustin Stokes & Elliot Samuel Paul - 2016 - In Justin Sytsma & Wesley Buckwalter (eds.), A Companion to Experimental Philosophy. Malden, MA: Wiley. pp. 318–333.details
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On the Opacity of Deep Neural Networks.Anders Søgaard - forthcoming - Canadian Journal of Philosophy:1-16.details
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Cortical connections and parallel processing: Structure and function.Dana H. Ballard - 1986 - Behavioral and Brain Sciences 9 (1):67-90.details
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What's in the term connectionist?.Christof Koch - 1986 - Behavioral and Brain Sciences 9 (1):100-101.details
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Value units make the right connections.Dana H. Ballard - 1986 - Behavioral and Brain Sciences 9 (1):107-120.details
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What Do Technology and Artificial Intelligence Mean Today?Scott H. Hawley & Elias Kruger - forthcoming - In Hector Fernandez (ed.), Sociedad Tecnológica y Futuro Humano, vol. 1: Desafíos conceptuales. pp. 17.details
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The Rise of Cognitive Science in the 20th Century.Carrie Figdor - 2018 - In Amy Kind (ed.), Philosophy of Mind in the Twentieth and Twenty-First Centuries: The History of the Philosophy of Mind, Volume 6. New York: Routledge. pp. 280-302.details
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Enaction-Based Artificial Intelligence: Toward Co-evolution with Humans in the Loop.Pierre Loor, Kristen Manac’H. & Jacques Tisseau - 2009 - Minds and Machines 19 (3):319-343.details
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Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.details
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Modeling language and cognition with deep unsupervised learning: a tutorial overview.Marco Zorzi, Alberto Testolin & Ivilin P. Stoianov - 2013 - Frontiers in Psychology 4.details
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Online Transfer Learning.Peilin Zhao, Steven C. H. Hoi, Jialei Wang & Bin Li - 2014 - Artificial Intelligence 216:76-102.details
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Credit Card Fraud Detection through Parenclitic Network Analysis.Massimiliano Zanin, Miguel Romance, Santiago Moral & Regino Criado - 2018 - Complexity 2018:1-9.details
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Why psychologists should embrace rather than abandon DNNs.Galit Yovel & Naphtali Abudarham - 2023 - Behavioral and Brain Sciences 46:e414.details
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Plasticity of cerebro-cerebellar interactions in patients with cerebellar dysfunction.Karl Wessel - 1996 - Behavioral and Brain Sciences 19 (3):481-482.details
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Eyeblink conditioning, motor control, and the analysis of limbic-cerebellar interactions.Craig Weiss & John F. Disterhoft - 1996 - Behavioral and Brain Sciences 19 (3):479-481.details
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The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.details
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No more news from the cerebellum.Steven R. Vincent - 1996 - Behavioral and Brain Sciences 19 (3):490-492.details
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Thirty years of artificial intelligence and law: the third decade.Serena Villata, Michal Araszkiewicz, Kevin Ashley, Trevor Bench-Capon, L. Karl Branting, Jack G. Conrad & Adam Wyner - 2022 - Artificial Intelligence and Law 30 (4):561-591.details
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Smolensky's theory of mind.Paul F. M. J. Verschure - 1990 - Behavioral and Brain Sciences 13 (2):407-407.details
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On observing emergent properties and their compositions.Francisco T. Varela & Vicente Sanchez-Leighton - 1990 - Behavioral and Brain Sciences 13 (2):401-402.details
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What behavioral benefit does stiffness control have? An elaboration of Smith's proposal.Gerard P. Van Galen, Angelique W. Hendriks & Willem P. DeJong - 1996 - Behavioral and Brain Sciences 19 (3):478-479.details
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Sensorimotor learning in structures “upstream” from the cerebellum.Paul van Donkelaar - 1996 - Behavioral and Brain Sciences 19 (3):477-478.details
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Connectionist computing and neural machinery: Examining the test of “timing”.John K. Tsotsos - 1986 - Behavioral and Brain Sciences 9 (1):106-107.details
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Limitations of PET and lesion studies in defining the role of the human cerebellum in motor learning.D. Timmann & H. C. Diener - 1996 - Behavioral and Brain Sciences 19 (3):477-477.details
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Motor learning and synaptic plasticity in the cerebellum.Richard F. Thompson - 1996 - Behavioral and Brain Sciences 19 (3):475-477.details
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Q: Is the cerebellum an adaptive combiner of motor and mental/motor activities? A: Yes, maybe, certainly not, who can say?W. Thomas Thach - 1996 - Behavioral and Brain Sciences 19 (3):501-528.details
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We know a lot about the cerebellum, but do we know what motor learning is?Stephan P. Swinnen, Charles B. Walter & Natalia Dounskaia - 1996 - Behavioral and Brain Sciences 19 (3):474-475.details
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What does the cortex do?Mriganka Sur - 1986 - Behavioral and Brain Sciences 9 (1):105-105.details
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How to link the specificity of cerebellar anatomy to motor learning?Fahad Sultan, Detlef Heck & Harold Bekkering - 1996 - Behavioral and Brain Sciences 19 (3):474.details
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Ontology, neural networks, and the social sciences.David Strohmaier - 2020 - Synthese 199 (1-2):4775-4794.details
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In defense of PTC.Paul Smolensky - 1990 - Behavioral and Brain Sciences 13 (2):407-412.details
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Resilient cerebellar theory complies with stiff opposition.Allan M. Smith - 1996 - Behavioral and Brain Sciences 19 (3):499-501.details
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More on climbing fiber signals and their consequence(s).J. I. Simpson, D. R. W. Wylie & C. I. De Zeeuw - 1996 - Behavioral and Brain Sciences 19 (3):496-498.details
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Symbolic/Subsymbolic Interface Protocol for Cognitive Modeling.Patrick Simen & Thad Polk - 2010 - Logic Journal of the IGPL 18 (5):705-761.details
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Computational neuroscience.Terrence J. Sejnowski - 1986 - Behavioral and Brain Sciences 9 (1):104-105.details
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Models and reality.John R. Searle - 1990 - Behavioral and Brain Sciences 13 (2):399-399.details
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Why not artificial consciousness or thought?Richard H. Schlagel - 1999 - Minds and Machines 9 (1):3-28.details
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Dysmetria of thought: Correlations and conundrums in the relationship between the cerebellum, learning, and cognitive processing.Jeremy D. Schmahmann - 1996 - Behavioral and Brain Sciences 19 (3):472-473.details
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Gender Perception From Gait: A Comparison Between Biological, Biomimetic and Non-biomimetic Learning Paradigms.Viswadeep Sarangi, Adar Pelah, William Edward Hahn & Elan Barenholtz - 2020 - Frontiers in Human Neuroscience 14.details
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Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition.Timothy T. Rogers & James L. McClelland - 2014 - Cognitive Science 38 (6):1024-1077.details
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Cerebellar rhythms: Exploring another metaphor.Patrick D. Roberts, Gin McCollum & Jan E. Holly - 1996 - Behavioral and Brain Sciences 19 (3):471-472.details
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Perspectives on Modeling in Cognitive Science.Richard M. Shiffrin - 2010 - Topics in Cognitive Science 2 (4):736-750.details
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Level of analysis is not a central issue.James A. Reggia - 1990 - Behavioral and Brain Sciences 13 (2):406-407.details
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From cognitive science to cognitive neuroscience to neuroeconomics.Steven R. Quartz - 2008 - Economics and Philosophy 24 (3):459-471.details
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The Unbearable Shallow Understanding of Deep Learning.Alessio Plebe & Giorgio Grasso - 2019 - Minds and Machines 29 (4):515-553.details
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The Dynamics of Perceptual Learning: An Incremental Reweighting Model.Alexander A. Petrov, Barbara Anne Dosher & Zhong-Lin Lu - 2005 - Psychological Review 112 (4):715-743.details
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Deep learning and cognitive science.Pietro Perconti & Alessio Plebe - 2020 - Cognition 203:104365.details
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