Publications


    N. D. Goodman

      Learning grounded causal models (pdf) (bibtex)


      N. D. Goodman, V. K. Mansignhka, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

      Learning causal schemata (pdf) (bibtex)


      C. Kemp, N. D. Goodman, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

      A rational analysis of rule-based concept learning (pdf) (bibtex)


      N. D. Goodman, T. L. Griffiths, J. Feldman, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
      #concepts, #categorization

      Intuitive theories of mind: A rational approach to false belief (pdf) (bibtex)


      N. D. Goodman, C. L. Baker, E. B. Bonawitz, V. K Mansinghka, A. Gopnik, H. Wellman, L. Schulz, J. B. Tenenbaum:
      Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
      #social cognition

      Learning and using relational theories (pdf) (bibtex)


      C. Kemp, N. D. Goodman, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 20
      #theories, #language of thought

      A Bayesian framework for cross-situational word-learning (pdf) (bibtex)


      M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 20
      #language

      A rational analysis of rule-based concept learning (pdf) (bibtex)


      N. D. Goodman, J. B. Tenenbaum, J. Feldman, T. L. Griffiths:
      Cognitive Science
      #concepts, #language of thought

      Using speakers' referential intentions to model early cross-situational word learning (pdf) (bibtex)


      M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
      Psychological Science XX
      #language

      Learning Structured Generative Concepts (pdf) (bibtex)


      A. Stuhlmueller, J. B. Tenenbaum, N. D. Goodman:
      Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
      #concepts

      Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts (pdf) (bibtex)


      S. T. Piantadosi, N. D. Goodman, J. B. Tenenbaum:
      Proceedings of the 32nd Cognitive Science Conference
      #concept learning, #language

      Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation (pdf) (bibtex)


      D. Wingate, A. Stuhlmueller, N. D. Goodman:
      Proceedings of the 14th international conference on Artificial Intelligence and Statistics
      #probabilistic programming, #mcmc, #inference

      Church: a language for generative models (pdf) (bibtex)


      N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
      Uncertainty in Artificial Intelligence 2008
      #church, #probabilistic programming, #generative models

      The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model (web) (bibtex)


      J. K. Hamlin, T. D. Ullman, J. B. Tenenbaum, N. D. Goodman, C. L. Baker:
      Developmental Science
      #morality, #infants, #goal inference, #theory of mind, #inverse planning

      Learning a theory of causality (pdf) (bibtex)


      N. D. Goodman, T. D. Ullman, and J. B. Tenenbaum:
      Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society
      #causality, #theory learning, #causal networks

      Learning a theory of causality (pdf) (bibtex)


      N. D. Goodman, T. D. Ullman, and J. B. Tenenbaum:
      Psychological review
      #causality, #theory learning, #causal networks

      Knowledge and implicature: Modeling language understanding as social cognition (pdf) (bibtex)


      N. D. Goodman, A. Stuhlmueller:
      Topics in Cognitive Science
      #language, #pragmatics

      Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs (pdf) (bibtex)


      A. Stuhlmueller, N. D. Goodman:
      Journal of Cognitive Systems Research
      #theory of mind, #probabilistic programming

      A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs (web) (bibtex)


      A. Stuhlmueller, N. D. Goodman:
      Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
      #dynamic programming, #inference, #probabilistic programming

      Inducing Probabilistic Programs by Bayesian Program Merging (web) (bibtex)


      I. Hwang, A. Stuhlmueller, N. D. Goodman:
      Technical Report. arXiv:1110.5667 [cs.AI]
      #probabilistic programming, #program induction

      Nonstandard Interpretations of Probabilistic Programs for Efficient Inference (pdf) (bibtex)


      D. Wingate, N. D. Goodman, A. Stuhlmueller, J. M. Siskind:
      Advances in Neural Information Processing Systems (NIPS) 24
      #probabilistic programming, #inference

      From counterfactual simulation to causal judgment (pdf) (bibtex)


      T. Gerstenberg, N. D. Goodman, D. A. Lagnado, J. B. Tenenbaum:
      Proceedings of the 36th Annual Conference of the Cognitive Science Society
      #causality, #counterfactuals, #simulation, #intuitive physics, #attribution

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