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1
Can quantum probability provide a new direction for cognitive modeling? : [Including open peer commentary and authors' response]
In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 36 (2013) 3, 255-327
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2
When learning to classify by relations is easier than by features
In: Thinking & reasoning. - Abingdon : Routledge, Taylor & Francis Group 16 (2010) 4, 372-401
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3
When more is less: feedback effects in perceptual category learning
In: Cognition. - Amsterdam [u.a] : Elsevier 108 (2008) 2, 578-589
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4
SUSTAIN : a network model of category learning
In: Psychological review. - Washington, DC [u.a.] : American Psychological Association 111 (2004) 2, 309-332
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5
Schematic influences on category learning and recognition memory
In: Journal of experimental psychology. General. - Washington, DC [u.a.] : Assoc. 133 (2004) 4, 534-553
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6
The nonindependence of stimulus properties in human category learning
In: Memory & cognition. - Heidelberg [u.a.] : Springer 31 (2003) 5, 790-799
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7
Learning nonlinearly separable categories by inference and classification
In: Journal of experimental psychology. Learning, memory, and cognition. - Washington, DC [u.a.] : Assoc. 28 (2002) 3, 585-593
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8
Feature centrality and conceptual coherence
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 22 (1998) 2, 189-228
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