Implicit Learning and Consciousness (eBook, PDF)

An Empirical, Philosophical and Computational Consensus in the Making
Redaktion: Cleeremans, Axel; French, Robert

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 200
• Erscheinungstermin: 7. März 2013
• Englisch
• ISBN-13: 9781135431501
• Artikelnr.: 38249948

Autorenporträt

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.