David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 32 (2):225-226 (2009)
The extent to which human learning should be thought of in terms of elementary, automatic versus controlled, cognitive processes is unresolved after nearly a century of often fierce debate. Mitchell et al. provide a persuasive review of evidence against automatic, unconscious links. Indeed, unconscious processes seem to play a negligible role in any form of learning, not just in Pavlovian conditioning. But a modern connectionist framework, in which phenomena are emergent properties, is likely to offer a fuller account of human learning than the propositional framework Mitchell et al. propose
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Mike Oaksford & Nick Chater (2007). Bayesian Rationality: The Probabilistic Approach to Human Reasoning. OUP Oxford.
Lawrence W. Barsalou, W. Kyle Simmons, Aron K. Barbey & Christine D. Wilson (2003). Grounding Conceptual Knowledge in Modality-Specific Systems. Trends in Cognitive Sciences 7 (2):84-91.
Axel Cleeremans (1993). Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing. MIT Press.
Richard J. Tunney & David R. Shanks (2003). Subjective Measures of Awareness and Implicit Cognition. Memory and Cognition 31 (7):1060-1071.
D. Lagnado (2002). Probability Judgment in Hierarchical Learning: A Conflict Between Predictiveness and Coherence. Cognition 83 (1):81-112.
Citations of this work BETA
No citations found.
Similar books and articles
Keith S. Apfelbaum & Bob McMurray (2011). Using Variability to Guide Dimensional Weighting: Associative Mechanisms in Early Word Learning. Cognitive Science 35 (6):1105-1138.
Steven M. Green, David L. Wilson & Siân Evans (1998). Anecdotes, Omniscience, and Associative Learning in Examining the Theory of Mind. Behavioral and Brain Sciences 21 (1):122-122.
Pierre Perruchet & Annie Vinter (2002). The Self-Organizing Consciousness. Behavioral and Brain Sciences 25 (3):297-388.
Philip S. Wong, Edward Bernat, Michael Snodgrass & Howard Shevrin (2004). Event-Related Brain Correlates of Associative Learning Without Awareness. International Journal of Psychophysiology 53 (3):217-231.
Bas van der Vossen (2011). Associative Political Obligations: Their Potential. Philosophy Compass 6 (7):488-496.
Chris J. Mitchell, Jan De Houwer & Peter F. Lovibond (2009). The Propositional Nature of Human Associative Learning. Behavioral and Brain Sciences 32 (2):183-198.
Marco Mazzone (2011). Schemata and Associative Processes in Pragmatics. Journal of Pragmatics 43 (8):2148-2159.
Mikhail N. Zhadin (2000). Difficulties with Synaptic Theory of Learning and Memory and Possible Remedies. Behavioral and Brain Sciences 23 (4):550-551.
N. A. Schmajuk & G. M. Kutlu (2009). The Computational Nature of Associative Learning. Behavioral and Brain Sciences 32 (2):223-224.
Added to index2009-04-24
Total downloads21 ( #154,175 of 1,781,279 )
Recent downloads (6 months)5 ( #123,275 of 1,781,279 )
How can I increase my downloads?