NACS 645: Cognitive architecture
Bayesian approaches to cognition and arguments about their scope and robustness.
Course material for NACS 645: Introduction to Cognitive Science (Fall 2025) at the University of Maryland. Sessions covered: Cognitive architecture 2 (Bayesian models).
Required readings:
- Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331, 1279-1285.
- Marcus, G. F., & Davis, E. (2013). How robust are probabilistic models of higher-level cognition? Psychological Science, 24, 2351-2360.
The material is provided below as a single PDF.
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