Dynamical learning algorithms for neural networks and neural constructivism
Behavioral and Brain Sciences 20 (4):559-559 (1997)
| Abstract | The present commentary addresses the Quartz & Sejnowski (Q&S) target article from the point of view of the dynamical learning algorithm for neural networks. These techniques implicitly adopt Q&S's neural constructivist paradigm. Their approach hence receives support from the biological and psychological evidence. Limitations of constructive learning for neural networks are discussed with an emphasis on grammar learning. | |||||||||
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Dan Lloyd (1998). The Fables of Lucy R.: Association and Dissociation in Neural Networks. In Dan J. Stein & J. Ludick (eds.), Neural Networks and Psychopathology. Cambridge University Press.
Hannes Leitgeb (2005). Interpreted Dynamical Systems and Qualitative Laws: From Neural Networks to Evolutionary Systems. Synthese 146 (1-2):189 - 202.
Denis Mareschal & Thomas R. Shultz (1997). From Neural Constructivism to Children's Cognitive Development: Bridging the Gap. Behavioral and Brain Sciences 20 (4):571-572.
Stan Franklin & Max Garzon (1992). On Stability and Solvability (or, When Does a Neural Network Solve a Problem?). Minds and Machines 2 (1).
Andreas Demetriou (2000). From Neural Constructivism to Cognitive Constructivism: The Steps to Be Taken. Behavioral and Brain Sciences 23 (5):781-782.
Dan Hunter (1999). Out of Their Minds: Legal Theory in Neural Networks. Artificial Intelligence and Law 7 (2-3).
Gualtiero Piccinini (2008). Some Neural Networks Compute, Others Don't. Neural Networks 21 (2-3):311-321.
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