United States of America
Noah D. Goodman is Assistant Professor of Psychology, Linguistics (by courtesy), and Computer Science (by courtesy) at Stanford University. He studies the computational basis of human thought, merging behavioral experiments with formal methods from statistics and logic. Specific projects vary from concept learning and language understanding to inference algorithms for probabilistic programming languages. He received his Ph.D. in mathematics from the University of Texas at Austin in 2003. In 2005 he entered cognitive science, working as Postdoc and Research Scientist at MIT. In 2010 he moved to Stanford where he runs the Computation and Cognition Lab.
Computational models of cognition, Probabilistic programming languages, Natural language semantics and pragmatics, Representation, acquisition, and use of concepts and intuitive theories, Social and affective cognition, Cognitive development.
P Shafto, ND Goodman, M Frank (2012) Learning from others: The consequences of social context for human learning. Perspectives on Psychological Science.
TD Ullman, ND Goodman, JB Tenenbaum (2012)Theory learning as stochastic search in the language of thought. Cognitive Development
JK Hamlin, T Ullman, J Tenenbaum, ND Goodman, CL Baker (2013)The mentalistic basis of core social cognition: experiments in preverbal infants and a computational model. Developmental Science.