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  1. Feature Centrality and Conceptual Coherence.Steven A. Sloman, Bradley C. Love & Woo-Kyoung Ahn - 1998 - Cognitive Science 22 (2):189-228.
    Conceptual features differ in how mentally tranformable they are. A robin that does not eat is harder to imagine than a robin that does not chirp. We argue that features are immutable to the extent that they are central in a network of dependency relations. The immutability of a feature reflects how much the internal structure of a concept depends on that feature; i.e., how much the feature contributes to the concept's coherence. Complementarily, mutability reflects the aspects in which a (...)
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  • A Model for Stochastic Drift in Memory Strength to Account for Judgments of Learning.Sverker Sikström & Fredrik Jönsson - 2005 - Psychological Review 112 (4):932-950.
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  • A Bayesian model for implicit effects in perceptual identification.Lael J. Schooler, Richard M. Shiffrin & Jeroen G. W. Raaijmakers - 2001 - Psychological Review 108 (1):257-272.
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  • Towards a cognitive model of distraction by auditory novelty: The role of involuntary attention capture and semantic processing.Fabrice B. R. Parmentier - 2008 - Cognition 109 (3):345-362.
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  • An instance theory of attention and memory.Gordon D. Logan - 2002 - Psychological Review 109 (2):376-400.
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  • A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.Thomas K. Landauer & Susan T. Dumais - 1997 - Psychological Review 104 (2):211-240.
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  • Biologically Plausible, Human‐Scale Knowledge Representation.Eric Crawford, Matthew Gingerich & Chris Eliasmith - 2016 - Cognitive Science 40 (4):782-821.
    Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony, “mesh” binding, and conjunctive binding. Recent theoretical work has suggested that most of these methods will not scale well, that is, that they cannot encode structured representations using any of the tens of thousands of terms in the adult lexicon without making implausible resource assumptions. Here, we empirically demonstrate that the biologically plausible structured representations employed in the Semantic Pointer Architecture approach (...)
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  • Models of verbal working memory capacity: What does it take to make them work?Nelson Cowan, Jeffrey N. Rouder, Christopher L. Blume & J. Scott Saults - 2012 - Psychological Review 119 (3):480-499.
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  • Representational explanations of “process” dissociations in recognition: The DRYAD theory of aging and memory judgments.Aaron S. Benjamin - 2010 - Psychological Review 117 (4):1055-1079.
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  • Spanning seven orders of magnitude: a challenge for cognitive modeling.John R. Anderson - 2002 - Cognitive Science 26 (1):85-112.
    Much of cognitive psychology focuses on effects measured in tens of milliseconds while significant educational outcomes take tens of hours to achieve. The task of bridging this gap is analyzed in terms of Newell's (1990) bands of cognition—the Biological, Cognitive, Rational, and Social Bands. The 10 millisecond effects reside in his Biological Band while the significant learning outcomes reside in his Social Band. The paper assesses three theses: The Decomposition Thesis claims that learning occurring at the Social Band can be (...)
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  • A production system theory of serial memory.John R. Anderson & Michael Matessa - 1997 - Psychological Review 104 (4):728-748.
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  • Analogical Episodes are More Likely to be Blended than Superficially Similar Ones.Veselina Feldman & Boicho Kokinov - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  • Models of memory.Jeroen Gw Raaijmakers & Richard M. Shiffrin - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
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  • Convolution‐Based Memory Models.Tony A. Plate - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
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