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.