Noah D. Goodman

Assistant Professor of Psychology, Computer Science (by courtesy), and Linguistics (by courtesy),
Stanford University.

Contact

Email: ngoodman at stanford dot edu
Office: 356 Jordan Hall

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Research

  • Computational models of cognition, integrating logic and probability.
  • Probabilistic programming languages.
  • Concepts, categorization, and intuitive theories.
  • Natural language semantics and pragmatics.
  • Social cognition: reasoning about others' goals, beliefs, and actions.
  • Causal learning and reasoning.
  • Cognitive development, especially the acquisition of abstract knowledge.

Fall 2013

Psych 204

Spring 2013

Seminar: Representations of Meaning (co-taught with Chris Potts).

Winter 2013

Introduction to Cognitive Science (Psych 035, SymSys 100, Ling 144, Phil 190)

Fall 2012

Psych 204

Spring 2012

Introduction to Cognitive Science (Psych 132, SymSys 100, Ling 144, Phil 190)

Winter 2012

Psych 204

IPAM GSS 2011

I co-organized the 2011 IPAM Graduate Summer School on Probabilistic Models of Cognition
(slides and videos of the lectures under the schedule link).

Spring 2011

Psych 239

Winter 2011

Psych 204

Church

Information on the probabilistic programming language Church can be found on the Church wiki.

Manuscripts, notes, and polemics (available by request when not linked)

2014

2013

2012

2011

2010

2009

2008

2007

  • Frameworks in science: a Bayesian approach. L. Henderson, N. D. Goodman, J. B. Tenenbaum, and J. Woodward. (This version was presented at the conference "Confirmation, Induction and Science", London School of Economics, March 2007.)
  • A rational analysis of rule-based concept learning. N. D. Goodman, T. L. Griffiths, J. Feldman, and J. B. Tenenbaum (2007). Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society.
  • Learning grounded causal models. N. D. Goodman, V. K. Mansinghka, and J. B. Tenenbaum (2007). Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society. (The experiment demo is here.) [2007 Cognitive Science Society computational modeling prize for Perception and Action.]
  • Learning causal schemata. C. Kemp, N. D. Goodman, and J. B. Tenenbaum (2007). Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society. [2007 Cognitive Science Society computational modeling prize for Higher-level Cognition.]

2006