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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