Open Peer Commentary
Second-generation AI theories of learning
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- 04 February 2010, pp. 658-659
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Induction and probability
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- 04 February 2010, p. 660
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New failures to learn
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- 04 February 2010, pp. 660-661
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Induction and explanation: Complementary models of learning
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- 04 February 2010, pp. 661-662
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When explanation is too hard (or understanding hijacking for novices)
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- 04 February 2010, pp. 662-663
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Of what use categories?
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- 04 February 2010, pp. 663-664
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The psychology of category learning: Current status and future prospect
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- 04 February 2010, pp. 664-665
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Approaches, assumptions, and goals in modeling cognitive behavior
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- 04 February 2010, pp. 665-666
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Theory-laden concepts: Great, but what is the next step?
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- Published online by Cambridge University Press:
- 04 February 2010, pp. 666-667
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Category differences/automaticity
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- Published online by Cambridge University Press:
- 04 February 2010, p. 667
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Salvaging parts of the “classical theory” of categorization
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- 04 February 2010, p. 668
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The pragmatics of induction
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- 04 February 2010, pp. 668-669
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Rejecting induction: Using occam's razor too soon
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- 04 February 2010, pp. 669-670
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The hard questions about noninductive learning remain unanswered
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- 04 February 2010, p. 670
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Are there really two types of learning?
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- 04 February 2010, p. 671
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Authors' Response
The learning of function and the function of learning
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- 04 February 2010, pp. 672-686
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Target article
Précis of Behaviorism: A conceptual reconstruction
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- 04 February 2010, pp. 687-699
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Open Peer Commentary
There's reconstruction, and there's behavior control
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- Published online by Cambridge University Press:
- 04 February 2010, pp. 699-700
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Why behaviorism won't die: The cognitivist's “musts” are only “may be's”
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- Published online by Cambridge University Press:
- 04 February 2010, pp. 700-701
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Viewing behaviorism selectively
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- 04 February 2010, pp. 701-702
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