Does opposition logic provide evidence for conscious and unconscious processes in artificial grammar learning?
Consciousness and Cognition 12 (2):201-218 (2003)
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| Keywords | *Artificial Intelligence *Classification (Cognitive Process) *Consciousness States *Grammar *Logic (Philosophy) Machine Learning Models Neural Networks | |||||||||
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Ron Sun (1997). Learning, Action, and Consciousness: A Hybrid Approach Toward Modeling Consciousness. Neural Networks 10:1317-33.
Peter Robinson (2005). Rules and Similarity Processes in Artificial Grammar and Natural Second Language Learning: What is the “Default”? Behavioral and Brain Sciences 28 (1):32-33.
Chris Thornton (1997). Brave Mobots Use Representation: Emergence of Representation in Fight-or-Flight Learning. Minds and Machines 7 (4):475-494.
Rolf Reber (2005). Rule Versus Similarity: Different in Processing Mode, Not in Representations. Behavioral and Brain Sciences 28 (1):31-32.
Enrico Blanzieri (1997). Dynamical Learning Algorithms for Neural Networks and Neural Constructivism. Behavioral and Brain Sciences 20 (4):559-559.
Ivan Moura (2006). A Model of Agent Consciousness and its Implementation. Neurocomputing 69 (16-18):1984-1995.
Owen Holland (ed.) (2003). Machine Consciousness. Imprint Academic.
Annette Kinder (2000). Can We Do Without Distributed Models? Not in Artificial Grammar Learning. Behavioral and Brain Sciences 23 (4):484-484.
J. Vokey (2004). Opposition Logic and Neural Network Models in Artificial Grammar Learning. Consciousness and Cognition 13 (3):565-578.
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