Noah D. Goodman
Associate Professor of Psychology and Computer Science, and Linguistics (by courtesy), at Stanford University.
Scholar metrics and bibliography
Email: ngoodman at stanford dot edu
Office: 356 Jordan Hall, Stanford.
- Computational models of cognition.
- Probabilistic programming languages.
- Natural language semantics and pragmatics.
- Concepts, categorization, and intuitive theories.
- Social cognition: reasoning about others’ traits, states, and actions.
- Cognitive development, especially the acquisition of abstract knowledge.
Language and Thought (Psych 132)
Computation and Cognition: the Probabilistic Approach (Psych 204 / CS 428)
Previously taught: Fall 2017, Fall 2016 Spring 2015, Fall 2013, Fall 2012, Winter 2012, Spring 2011.
Foundations of Cognition (Psych 205)
Taught: Spring 2015. Website
Introduction to Cognitive Science (Psych 035, SymSys 100, Ling 144, Phil 190)
Taught: Winter 2014, Winter 2013, Spring 2012.
Fall 2018: Topics in Natural and Artificial Intelligence
Spring 2018: Seminar on the Science of Meditation
Spring 2014: Probabilistic Models of Social Behavior and Affect (co-taught with Mike Frank and Jamil Zaki).
Spring 2013: Representations of Meaning (co-taught with Chris Potts).
Spring 2011: Formal and Computational Approaches in Psychology and Cognitive Science (co-taught with Jay McClelland).
The Design and Implementation of Probabilistic Programming Languages
IPAM GSS 2011
I co-organized the 2011 IPAM Graduate Summer School on Probabilistic Models of Cognition.