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Attention and reinforcement learning: Constructing representations from indirect feedback

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

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  1. 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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  • Rule-plus-exception model of classification learning.Robert M. Nosofsky, Thomas J. Palmeri & Stephen C. McKinley - 1994 - Psychological Review 101 (1):53-79.
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  • (1 other version)The role of theories in conceptual coherence.Gregory L. Murphy & Douglas L. Medin - 1985 - Psychological Review 92 (3):289-316.
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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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  • (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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  • The adaptive nature of human categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  • (1 other version)The role of theories in conceptual coherence.G. L. Murphy & D. L. Medin - 1999 - In Eric Margolis & Stephen Laurence (eds.), Concepts: Core Readings. MIT Press. pp. 289--316.
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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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  • Integrating reinforcement learning with models of representation learning.Matt Jones & Fabián Canas - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1258--1263.
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