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  1. 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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  • The cognitive revolution: a historical perspective.George A. Miller - 2003 - Trends in Cognitive Sciences 7 (3):141-144.
    Cognitive science is a child of the 1950s, the product of a time when psychology, anthropology and linguistics were redefining themselves and computer science and neuroscience as disciplines were coming into existence. Psychology could not participate in the cognitive revolution until it had freed itself from behaviorism, thus restoring cognition to scientific respectability. By then, it was becoming clear in several disciplines that the solution to some of their problems depended crucially on solving problems traditionally allocated to other disciplines. Collaboration (...)
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  • Topics in semantic representation.Thomas L. Griffiths, Mark Steyvers & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):211-244.
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  • Representing word meaning and order information in a composite holographic lexicon.Michael N. Jones & Douglas J. K. Mewhort - 2007 - Psychological Review 114 (1):1-37.
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  • Principles of categorization.Eleanor Rosch - 1988 - In Allan Collins & Edward E. Smith, Readings in Cognitive Science, a Perspective From Psychology and Artificial Intelligence. Morgan Kaufmann Publishers. pp. 312-22.
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  • Context theory of classification learning.Douglas L. Medin & Marguerite M. Schaffer - 1978 - Psychological Review 85 (3):207-238.
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  • The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning.Stephan Lewandowsky, Thomas L. Griffiths & Michael L. Kalish - 2009 - Cognitive Science 33 (6):969-998.
    Determining the knowledge that guides human judgments is fundamental to understanding how people reason, make decisions, and form predictions. We use an experimental procedure called ‘‘iterated learning,’’ in which the responses that people give on one trial are used to generate the data they see on the next, to pinpoint the knowledge that informs people's predictions about everyday events (e.g., predicting the total box office gross of a movie from its current take). In particular, we use this method to discriminate (...)
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