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Integrating reinforcement learning with models of representation learning

In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1258--1263 (2010)

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  1. (1 other version)ALCOVE: An exemplar-based connectionist model of category learning.John K. Kruschke - 1992 - Psychological Review 99 (1):22-44.
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  • (1 other version)Alcove-an exemplar-based connectionist model of category learning.Jk Kruschke & Rm Nosofsky - 1991 - Bulletin of the Psychonomic Society 29 (6):475-475.
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  • Attention and reinforcement learning: Constructing representations from indirect feedback.Fabián Canas & Matt Jones - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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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 development of features in object concepts.Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut - 1998 - Behavioral and Brain Sciences 21 (1):1-17.
    According to one productive and influential approach to cognition, categorization, object recognition, and higher level cognitive processes operate on a set of fixed features, which are the output of lower level perceptual processes. In many situations, however, it is the higher level cognitive process being executed that influences the lower level features that are created. Rather than viewing the repertoire of features as being fixed by low-level processes, we present a theory in which people create features to subserve the representation (...)
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  • Respects for similarity.Douglas L. Medin, Robert L. Goldstone & Dedre Gentner - 1993 - Psychological Review 100 (2):254-278.
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  • SUSTAIN: A Network Model of Category Learning.Bradley C. Love, Douglas L. Medin & Todd M. Gureckis - 2004 - Psychological Review 111 (2):309-332.
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