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Probabilistic models of cognition: exploring representations and inductive biases
Authors:Thomas L. Griffiths  Nick Chater  Charles Kemp  Amy Perfors  Joshua B. Tenenbaum
Affiliation:1. Department of Psychology, University of California, Berkeley, 3210 Tolman Hall MC 1650, Berkeley CA 94720-1650, USA;2. Division of Psychology and Language Sciences, University College London, Gower Street, London WC1E 6BT, UK;3. Department of Psychology, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA;4. School of Psychology, University of Adelaide, Level 4, Hughes Building, Adelaide, SA 5005, Australia;5. Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Building 46-4015, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;1. Janelia Research Campus, 19700 Helix Dr., Ashburn, VA 20147, USA;2. Department of Brain and Cognitive Sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;3. Department of Psychology and Center for Brain Science, Harvard University, Northwest Building, 52 Oxford Street, Cambridge, MA 02138, USA;1. Department of Psychology, Princeton University, Princeton, NJ 08540, USA;2. Equal author contributions;1. University of Louisville, United States;2. Stanford University, United States;3. University of California, Berkeley, United States;1. Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;2. Department of Psychology, Stanford University, Stanford, CA 94305, USA;1. Department of Psychology, University of California, Berkeley, CA, USA
Abstract:
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