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A one-system theory that is not propositional

Published online by Cambridge University Press:  23 April 2009

James E. Witnauer
Affiliation:
Department of Psychology, State University of New York–Binghamton, Binghamton, NY 13902-6000jwitnau1@binghamton.edurmiller@binghamton.eduhttp://www2.binghamton.edu/psychology/
Gonzalo P. Urcelay
Affiliation:
Department of Experimental Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, United Kingdom. gu203@cam.ac.ukhttp://www.psychol.cam.ac.uk/
Ralph R. Miller
Affiliation:
Department of Psychology, State University of New York–Binghamton, Binghamton, NY 13902-6000jwitnau1@binghamton.edurmiller@binghamton.eduhttp://www2.binghamton.edu/psychology/

Abstract

We argue that the propositional and link-based approaches to human contingency learning represent different levels of analysis because propositional reasoning requires a basis, which is plausibly provided by a link-based architecture. Moreover, in their attempt to compare two general classes of models (link-based and propositional), Mitchell et al. refer to only two generic models and ignore the large variety of different models within each class.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2009

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References

Corlett, P. R., Aitken, M. R. F., Dickinson, A., Shanks, D. R., Honey, G. D., Honey, R. A. E., Robbins, T. W., Bullmore, E. T. & Fletcher, P. C. (2004) Prediction error during retrospective revaluation of causal associations in humans: fMRI evidence in favor of an associative model of learning. Neuron 44:877–88.Google ScholarPubMed
Miller, R. R. & Escobar, M. (2001) Contrasting acquisition-focused and performance-focused models of acquired behavior. Current Directions in Psychological Science 10:141–45.CrossRefGoogle Scholar
Rescorla, R. A. & Wagner, A. R. (1972) A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement. In: Classical conditioning: Current theory and research, vol. 2, ed. Black, A. H. & Prokasy, W. F., pp. 6499. Appleton-Century-Crofts.Google Scholar
Schultz, W. (1998) Predictive reward signal of dopamine neurons. Journal of Neurophysiology 80:127.CrossRefGoogle ScholarPubMed
Stout, S. C. & Miller, R. R. (2007) Sometimes competing retrieval (SOCR): A formalization of the extended comparator hypothesis. Psychological Review 114:759–83.CrossRefGoogle Scholar
Verhagen, J. V. & Scott, T. R. (2004) Artificial neural network analysis of gustatory responses in the thalamic taste relay of the rat. Physiology and Behavior 80:499513.CrossRefGoogle ScholarPubMed
Witnauer, J. E., Urcelay, G. P. & Miller, R. R. (2008) Reduced blocking as a result of increasing the number of blocking cues. Psychonomic Bulletin and Review 15:651–55.CrossRefGoogle ScholarPubMed
Wynne, C. D. L. (1995) Reinforcement accounts for transitive inference performance. Animal Learning and Behavior 23:207–17.CrossRefGoogle Scholar