Resources

Research

• Representative Papers:
  • Theory-based Bayesian models of inductive learning and reasoning
  • The discovery of structural form
  • Optimal predictions in everyday cognition
  • A global geometric framework for nonlinear dimensionality reduction
• Tutorials:
  • Church Wiki:
    Probabilistic Models of Cognition Tutorial
  • Josh Tenenbaum and Tom Griffiths:
    Tutorial at the Annual Meeting of the Cognitive Science Society 2004 (ppt)
  • Tom Griffiths, Josh Tenenbaum, and Charles Kemp:
    Tutorial at the Annual Meeting of the Cognitive Science Society 2006 (ppt)
  • Tom Griffiths, Josh Tenenbaum, and Charles Kemp:
    Tutorial at the Annual Meeting of the Cognitive Science Society 2008 (pdf)
• Videos & Slides:
  Graduate Summer School in Probabilistic Models of Cognition
• Griffiths, Kemp, and Tenenbaum:
  Bayesian models of cognition.
  The Cambridge handbook of computational cognitive modeling.
• Tom Griffiths:
  A reading list on Bayesian methods
• Trends in Cognitive Sciences:
  Special issue: Probabilistic models of cognition

Collaborators

• Early Childhood Cognition Lab
• Learning and Intelligent Systems Lab (LIS)
• Saxe Lab
• TedLab: The Language Lab
• Kanwisher Lab
• Computational Visual Cognition Laboratory
• UC Berkeley Computational Cognitive Science Lab
• William T. Freeman
• Charles Kemp
• Patrick Shafto
• Pedro Domingos
• Jeffrey Mark Siskind
• Michael Littman
• Antonio Torralba
• David Barner
• Fei Xu

For Lab Members

MIT logins are required to access the following pages:

• Lab Wiki
• Lab Mailing List