Challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning.
Challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Robert M. French and Axel Cleeremans are both experts in cognitive science , from the University of Liege and the Universite Libre de Bruxelles, respectively.
Inhaltsangabe
List of Contributors. List of Figures and Tables. Foreword. Introduction. A. Cleeremans, L. Jimenez,Implicit Learning and Consciousness: A Graded, Dynamic Perspective. Introduction. Adaptation, Adaptive Changes, and Learning. Consciousness. The Function of Consciousness: Commander Data meets the Zombies. The Framework. Implications. Discussion: What We Leave Behind. Acknowledgements. References. P. Perruchet, A. Vinter,The Self-organising Consciousness: A Framework for Implicit Learning. Attention is a Condition for Learning. From Attentional Resources to Phenomenal Consciousness. The Self-organisation of Perceptual Experience in Word Discovery. Generalisation. Rethinking Implicit Learning. Abstracting away from the Sensory Content. Consciousness: From 'Necessity' to 'Sufficiency'. Acknowledgements. References. Appendix: PARSER. Z. Dienes, J. Perner,A Theory of the Implicit Nature of Implicit Learning. What is a Representation? Implicit versus Explicit Representation. Implicit and Explicit Knowledge. Consciousness. Procedural versus Declarative. Voluntary Control. Implicit/Explicit and Meta-cognition. Implicit Learning. Summary. References. D.R. Shanks, T. Johnstone, A. Kinder,Modularity and Artificial Grammar Learning. Forms of Knowledge. Evidence for the Episodic-processing Account. Problems with Finite-state Grammars. The Biconditional Grammar. Artificial Grammar Learning in Amnesia. Conclusions. Acknowledgements. References. M. Redington, N. Chater,Knowledge Representation and Transfer in Artificial Grammar Learning (AGL). Introduction. What is Transfer? Why is Transfer Important? What Does Transfer Really Show? Knowledge Representation in AGL. Surface-independent and Surface-based Representations. Empirical Evidence. Evidence for the Acquisition of Surface-independent Knowledge. Discussion. Acknowledgements. References. T. Meulemans, M. van der Linden,Artificial Grammar Learning in Amnesia. The Amnesic Syndrome. Implicit Learning in Amnesic Patients: A Review. Conclusion. References. Author Index. Subject Index.
List of Contributors. List of Figures and Tables. Foreword. Introduction. A. Cleeremans, L. Jimenez,Implicit Learning and Consciousness: A Graded, Dynamic Perspective. Introduction. Adaptation, Adaptive Changes, and Learning. Consciousness. The Function of Consciousness: Commander Data meets the Zombies. The Framework. Implications. Discussion: What We Leave Behind. Acknowledgements. References. P. Perruchet, A. Vinter,The Self-organising Consciousness: A Framework for Implicit Learning. Attention is a Condition for Learning. From Attentional Resources to Phenomenal Consciousness. The Self-organisation of Perceptual Experience in Word Discovery. Generalisation. Rethinking Implicit Learning. Abstracting away from the Sensory Content. Consciousness: From 'Necessity' to 'Sufficiency'. Acknowledgements. References. Appendix: PARSER. Z. Dienes, J. Perner,A Theory of the Implicit Nature of Implicit Learning. What is a Representation? Implicit versus Explicit Representation. Implicit and Explicit Knowledge. Consciousness. Procedural versus Declarative. Voluntary Control. Implicit/Explicit and Meta-cognition. Implicit Learning. Summary. References. D.R. Shanks, T. Johnstone, A. Kinder,Modularity and Artificial Grammar Learning. Forms of Knowledge. Evidence for the Episodic-processing Account. Problems with Finite-state Grammars. The Biconditional Grammar. Artificial Grammar Learning in Amnesia. Conclusions. Acknowledgements. References. M. Redington, N. Chater,Knowledge Representation and Transfer in Artificial Grammar Learning (AGL). Introduction. What is Transfer? Why is Transfer Important? What Does Transfer Really Show? Knowledge Representation in AGL. Surface-independent and Surface-based Representations. Empirical Evidence. Evidence for the Acquisition of Surface-independent Knowledge. Discussion. Acknowledgements. References. T. Meulemans, M. van der Linden,Artificial Grammar Learning in Amnesia. The Amnesic Syndrome. Implicit Learning in Amnesic Patients: A Review. Conclusion. References. Author Index. Subject Index.
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