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Extending Bayesian concept learning to deal with representational complexity and adaptation

Published online by Cambridge University Press:  20 August 2002

Michael D. Lee
Michael D. Lee
Affiliation:
Department of Psychology, University of Adelaide, SA 5008 [email protected] http://www.psychology.adelaide.edu.au/members/staff/michaellee/
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Abstract

While Tenenbaum and Griffiths impressively consolidate and extend Shepard's research in the areas of stimulus representation and generalization, there is a need for complexity measures to be developed to control the flexibility of their “hypothesis space” approach to representation. It may also be possible to extend their concept learning model to consider the fundamental issue of representational adaptation. [Tenenbaum & Griffiths]

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 24 , Issue 4 , August 2001 , pp. 685 - 686
Copyright
© 2001 Cambridge University Press

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