Citations (36)
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F. Dandurand, V. Berthiaume & T.
R. Shultz. (2007) A systematic comparison of flat and standard cascade-correlation using a student–teacher network approximation task. Connection Science 19:3, pages 223-244.
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Ryotaro Kamimura, Osamu Uchida & Seiki Hashimoto. (2007) Greedy network-growing algorithm with Minkowski distances. International Journal of General Systems 36:2, pages 157-177.
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R Setiono, S-L Pan, M-H Hsieh & A Azcarraga. (2006) Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception. Journal of the Operational Research Society 57:3, pages 231-240.
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Articles from other publishers (33)
Duncan E. Astle, Mark H. Johnson & Danyal Akarca. (2023) Toward computational neuroconstructivism: a framework for developmental systems neuroscience. Trends in Cognitive Sciences 27:8, pages 726-744.
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Thomas R. Shultz & Ardavan S. Nobandegani. 2023. The Cambridge Handbook of Computational Cognitive Sciences. The Cambridge Handbook of Computational Cognitive Sciences
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Thomas R. Shultz, Ardavan S. Nobandegani & Scott E. Fahlman. 2020. Encyclopedia of Machine Learning and Data Science. Encyclopedia of Machine Learning and Data Science
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Mark H. Johnson. 2020. Neural Circuit and Cognitive Development. Neural Circuit and Cognitive Development
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Thomas R. Shultz. 2017. New Perspectives on Human Development. New Perspectives on Human Development
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Thomas R. Shultz & Scott E. Fahlman. 2017. Encyclopedia of Machine Learning and Data Mining. Encyclopedia of Machine Learning and Data Mining
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Frédéric Dandurand & Thomas R. Shultz. (2014) A comprehensive model of development on the balance-scale task. Cognitive Systems Research 31-32, pages 1-25.
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Thomas R.Shultz & Scott E.Fahlman. 2014. Encyclopedia of Machine Learning and Data Mining. Encyclopedia of Machine Learning and Data Mining
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M.H. Johnson. 2013. Neural Circuit Development and Function in the Brain. Neural Circuit Development and Function in the Brain
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Thomas R. Shultz. (2012) A constructive neural-network approach to modeling psychological development. Cognitive Development 27:4, pages 383-400.
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Daniel L. Silver. 2011. Artificial General Intelligence. Artificial General Intelligence
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Thomas R. Shultz, Scott E. Fahlman, Susan Craw, Periklis Andritsos, Panayiotis Tsaparas, Ricardo Silva, Chris Drummond, Charles X. Ling, Victor S. Sheng, Chris Drummond, Pier Luca Lanzi, João Gama, R. Paul Wiegand, Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Jun He, Sanjay Jain, Frank Stephan, Sanjay Jain, Frank Stephan, Claude Sammut, Michael Harries, Claude Sammut, Kai Ming Ting, Bernhard Pfahringer, John Case, Sanjay Jain, Kiri L. Wagstaff, Siegfried Nijssen, Anthony Wirth, Charles X. Ling, Victor S. Sheng, Xinhua Zhang, Claude Sammut, Nicola Cancedda, Jean-Michel Renders, Pietro Michelucci, Daniel Oblinger, Eamonn Keogh & Abdullah Mueen. 2010. Encyclopedia of Machine Learning. Encyclopedia of Machine Learning
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T.R. Shultz. 2010. International Encyclopedia of Education. International Encyclopedia of Education
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F. Dandurand & T.R. Shultz. (2009) Connectionist Models of Reinforcement, Imitation, and Instruction in Learning to Solve Complex Problems. IEEE Transactions on Autonomous Mental Development 1:2, pages 110-121.
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Maria do Carmo Nicoletti, João R. BertiniJr.Jr., David Elizondo, Leonardo Franco & José M. Jerez. 2009. Constructive Neural Networks. Constructive Neural Networks
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Robert Leech, Denis Mareschal & Richard P. Cooper. (2008) Analogy as relational priming: A developmental and computational perspective on the origins of a complex cognitive skill. Behavioral and Brain Sciences 31:4, pages 357-378.
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Thomas R. Shultz. (2008) Toward automatic constructive learning. Behavioral and Brain Sciences 31:3, pages 344-345.
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Le Tien Dung, Takashi Komeda & Motoki Takagi. (2007) Reinforcement learning in non-markovian environments using automatic discovery of subgoals. Reinforcement learning in non-markovian environments using automatic discovery of subgoals.
Thomas R. Shultz & Yoshio Takane. (2007) Rule following and rule use in the balance-scale task. Cognition 103:3, pages 460-472.
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Thomas R. Shultz. (2007) The Bayesian revolution approaches psychological development. Developmental Science 10:3, pages 357-364.
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Sylvain Sirois. (2004) Autoassociator networks: insights into infant cognition. Developmental Science 7:2, pages 133-140.
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RYOTARO KAMIMURA. (2011) MULTI-LAYERED GREEDY NETWORK-GROWING ALGORITHM: EXTENSION OF GREEDY NETWORK-GROWING ALGORITHM TO MULTI-LAYERED NETWORKS. International Journal of Neural Systems 14:01, pages 9-26.
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R. Kamimura & O. Uchida. (2004) Greedy network-growing by Minkowski distance functions. Greedy network-growing by Minkowski distance functions.
J.-P. Thivierget, F. Dandurand & T.R. Shultz. (2004) Transferring domain rules in a constructive network: introducing RBCC. Transferring domain rules in a constructive network: introducing RBCC.
A. Azcarraga, Ming Hsieh, Shan-Ling Pan & R. Setiono. (2004) Knowledge acquisition and revision via neural networks. Knowledge acquisition and revision via neural networks.
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R. Kamimura & O. Uchida. (2003) Faithful feature extraction by greedy network-growing algorithm. Faithful feature extraction by greedy network-growing algorithm.
J.-P. Thivierge & T.R. Shultz. (2002) Finding relevant knowledge: KBCC applied to DNA splice-junction determination. Finding relevant knowledge: KBCC applied to DNA splice-junction determination.
F. Rivest & T.R. Shultz. (2002) Application of knowledge-based cascade-correlation to vowel recognition. Application of knowledge-based cascade-correlation to vowel recognition.