
Noah D. Goodman
I'm a Postdoc in the
Computational Cognitive
Science Group at MIT.
My Curriculum Vitae.
Email: ndg at mit dot edu
Mail: MIT Building 46-4053, 77 Massachusetts Avenue, Cambridge, MA
02139
Manuscripts:
Frameworks in
science: a hierarchical Bayesian approach.
L. Henderson, N. D. Goodman, J. B. Tenenbaum, and J. Woodward (submitted).
Using speakers' referential intentions to model early cross-situational word learning.
M. C. Frank, N. D. Goodman, and J. B. Tenenbaum (under revision).
Causal inference and the origins of social cognition: preschool
children use covariation to make trait attributions.
E. Seiver, A. Gopnik, and N. D. Goodman (under revision).
Going beyond the evidence: Abstract laws and preschoolers' responses to
anomalous data.
L. E. Schulz, N. D. Goodman, J. B. Tenenbaum, and A. Jenkins (under
revision).
Published:
Church: a language for generative models with non-parametric
memoization and approximate inference.
N. D. Goodman, V. K. Mansighka, D. Roy, K. Bonawitz, J. B.
Tenenbaum (to appear).
Uncertainty in Artificial Intelligence 2008.
Random-World Semantics
and Syntactic Independence for Expressive
Languages.
D. McAllester, B. Milch, N. D. Goodman (2008).
Technical Report MIT-CSAIL-TR-2008-025, Massachusetts Institute of
Technology.
Teaching games: statistical
sampling assumptions for learning in pedagogical
situations.
P. Shafto, and N. D. Goodman (to appear).
Proceedings of the Thirtieth Annual
Conference of the Cognitive Science Society.
A Bayesian Model of the
Acquisition of Compositional Semantics.
S. T. Piantadosi, N. D. Goodman, B. A. Ellis, and J. B. Tenenbaum (to appear).
Proceedings of the Thirtieth Annual
Conference of the Cognitive Science Society.
Theory acquisition and the language of
thought.
C. Kemp, N. D. Goodman, and J. B. Tenenbaum (to appear).
Proceedings of the Thirtieth Annual
Conference of the Cognitive Science Society.
Structured correlation from the
causal background.
R. Mayrhofer, N. D. Goodman, M. Waldmann, and J. B. Tenenbaum (to appear).
Proceedings of the Thirtieth Annual
Conference of the Cognitive Science Society.
Modeling semantic cognition as logical
dimensionality reduction.
Y. Katz, N. D. Goodman, K. Kersting, C. Kemp, and J. B. Tenenbaum (to appear).
Proceedings of the Thirtieth Annual
Conference of the Cognitive Science Society.
Theory-based social goal induction.
C. L. Baker, N. D. Goodman, and J. B. Tenenbaum (to appear).
Proceedings of the Thirtieth Annual
Conference of the Cognitive Science Society.
A
Bayesian framework for cross-situational word-learning.
M. C. Frank, N. D. Goodman, and J. B. Tenenbaum (2008).
Advances in Neural Information Processing Systems 20.
Learning
and using relational theories. C. Kemp, N. D. Goodman, and J. B.
Tenenbaum
(2008). Advances in Neural Information Processing Systems 20.
A rational analysis of rule-based concept
learning.
N. D. Goodman, J. B. Tenenbaum, J. Feldman, and T. L. Griffiths (2008).
Cognitive Science. 32:1, 108-154.
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.)
Compositionality in
rational
analysis: Grammar-based
induction for concept learning.
N. D. Goodman, J. B. Tenenbaum, T. L. Griffiths, and J. Feldman
(in press). In M. Oaksford and N. Chater (Eds.). The probabilistic
mind: Prospects for Bayesian cognitive science.
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.)
[Winner, 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.
[Winner, 2007 Cognitive Science Society computational modeling prize
for Higher-level Cognition.]
Intuitive theories of mind: A rational
approach to false
belief. Goodman, N. D.,
Bonawitz, E. B., Baker, C. L., Mansinghka, V. K, Gopnik, A., Wellman, H.,
Schulz, L. and
Tenenbaum, J. B. (2006). Proceedings of the Twenty-Eighth Annual
Conference of the Cognitive Science Society.
Slides from a few of my talks:
Ideal observers in social cognition.
Slides from my colloquium talk at the University of Salzburg,
April 2007.
A shorter version:
Ideal observers in social cognition: a
parable
of rational analysis.
Slides from my talk at the Harvard Mind Brain Behavior Conference,
Cambridge, 2007.
Causal Learning and Learning to be
Causal.
Slides from my talk at the Society for Philosophy and Psychology, St.
Louis, 2006.