Publications

    N. D. Goodman

  • N. D. Goodman, V. K. Mansignhka, J. B. Tenenbaum:
    Learning grounded causal models (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

    @article{N.D.Goodman:2007:522c6,
    author = {N. D. Goodman and V. K. Mansignhka and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Learning grounded causal models},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/op510-goodman.pdf}
    }
  • C. Kemp, N. D. Goodman, J. B. Tenenbaum:
    Learning causal schemata (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

    @article{C.Kemp:2007:4607e,
    author = {C. Kemp and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Learning causal schemata},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/KempGT07.pdf}
    }
  • N. D. Goodman, T. L. Griffiths, J. Feldman, J. B. Tenenbaum:
    A rational analysis of rule-based concept learning (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    #concepts, #categorization
    @article{N.D.Goodman:2007:fb1d0,
    author = {N. D. Goodman and T. L. Griffiths and J. Feldman and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {A rational analysis of rule-based concept learning},
    year = {2007},
    keywords = {concepts, categorization},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/op322-goodman.pdf}
    }
  • N. D. Goodman, C. L. Baker, E. B. Bonawitz, V. K Mansinghka, A. Gopnik, H. Wellman, L. Schulz, J. B. Tenenbaum:
    Intuitive theories of mind: A rational approach to false belief (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
    #social cognition
    @article{N.D.Goodman:2006:a0079,
    author = {N. D. Goodman and C. L. Baker and E. B. Bonawitz and V. K Mansinghka and A. Gopnik and H. Wellman and L. Schulz and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Intuitive theories of mind: A rational approach to false belief},
    year = {2006},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/pos785-goodman.pdf}
    }
  • C. Kemp, N. D. Goodman, J. B. Tenenbaum:
    Learning and using relational theories (pdf) (bibtex)
    Advances in Neural Information Processing Systems 20
    #theories, #language of thought
    @article{C.Kemp:2008:bc9fb,
    author = {C. Kemp and N. D. Goodman and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 20},
    title = {Learning and using relational theories},
    year = {2008},
    keywords = {theories, language of thought},
    doi = {},
    url = {http://www.psy.cmu.edu/~ckemp/papers/kempgt07_paper.pdf}
    }
  • M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
    A Bayesian framework for cross-situational word-learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 20
    #language
    @article{M.C.Frank:2008:08550,
    author = {M. C. Frank and N. D. Goodman and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 20},
    title = {A Bayesian framework for cross-situational word-learning},
    year = {2008},
    keywords = {language},
    doi = {},
    url = {http://tedlab.mit.edu/~mcfrank/papers/frank-nips-2007.pdf}
    }
  • N. D. Goodman, J. B. Tenenbaum, J. Feldman, T. L. Griffiths:
    A rational analysis of rule-based concept learning (pdf) (bibtex)
    Cognitive Science
    #concepts, #language of thought
    @article{N.D.Goodman:2008:fb22c,
    author = {N. D. Goodman and J. B. Tenenbaum and J. Feldman and T. L. Griffiths},
    journal = {Cognitive Science},
    title = {A rational analysis of rule-based concept learning},
    year = {2008},
    keywords = {concepts, language of thought},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/RRfinal3.pdf}
    }
  • M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
    Using speakers’ referential intentions to model early cross-situational word learning (pdf) (bibtex)
    Psychological Science XX
    #language
    @article{M.C.Frank:2009:06462,
    author = {M. C. Frank and N. D. Goodman and J. B. Tenenbaum},
    journal = {Psychological Science XX},
    title = {Using speakers’ referential intentions to model early cross-situational word learning},
    year = {2009},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/FGT-PsychScience.pdf}
    }
  • A. Stuhlmueller, J. B. Tenenbaum, N. D. Goodman:
    Learning Structured Generative Concepts (pdf) (bibtex)
    Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
    #concepts
    @article{A.Stuhlmueller:2010:6d11a,
    author = {A. Stuhlmueller and J. B. Tenenbaum and N. D. Goodman},
    journal = {Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society},
    title = {Learning Structured Generative Concepts},
    year = {2010},
    keywords = {concepts},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/structured-generative-concepts-cogsci2010.pdf}
    }
  • S. T. Piantadosi, N. D. Goodman, J. B. Tenenbaum:
    Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts (pdf) (bibtex)
    Proceedings of the 32nd Cognitive Science Conference
    #concept learning, #language
    @article{S.T.Piantadosi:2010:298f2,
    author = {S. T. Piantadosi and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the 32nd Cognitive Science Conference},
    title = {Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts},
    year = {2010},
    keywords = {concept learning, language},
    doi = {},
    url = {http://web.mit.edu/piantado/www/papers/PiantadosiTenenbaumGoodman2010-CogsciFINAL.pdf}
    }
  • D. Wingate, N. D. Goodman, D. M. Roy and J. B. Tenenbaum:
    The Infinite Latent Events Model (pdf) (bibtex)
    Uncertainty in Artificial Intelligence
    #bayesian nonparametrics, #infinite, #dynamical system
    @article{D.Wingate:2009:566a9,
    author = {D. Wingate and N. D. Goodman and D. M. Roy and J. B. Tenenbaum},
    journal = {Uncertainty in Artificial Intelligence},
    title = {The Infinite Latent Events Model },
    year = {2009},
    keywords = {bayesian nonparametrics, infinite, dynamical system},
    doi = {},
    url = {http://web.mit.edu/~wingated/www/papers/ilem.pdf}
    }
  • D. Wingate, A. Stuhlmueller, N. D. Goodman:
    Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation (pdf) (bibtex)
    Proceedings of the 14th international conference on Artificial Intelligence and Statistics
    #probabilistic programming, #mcmc, #inference
    @article{D.Wingate:2011:f0689,
    author = {D. Wingate and A. Stuhlmueller and N. D. Goodman},
    journal = {Proceedings of the 14th international conference on Artificial Intelligence and Statistics},
    title = {Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation},
    year = {2011},
    keywords = {probabilistic programming, mcmc, inference},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/lightweight-mcmc-aistats2011.pdf}
    }
  • N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
    Church: a language for generative models (pdf) (bibtex)
    Uncertainty in Artificial Intelligence 2008
    #church, #probabilistic programming, #generative models
    @article{N.D.Goodman:2008:f5d3f,
    author = {N. D. Goodman and V. K. Mansinghka and D. M. Roy and K. Bonawitz and J. B. Tenenbaum},
    journal = {Uncertainty in Artificial Intelligence 2008},
    title = {Church: a language for generative models},
    year = {2008},
    keywords = {church, probabilistic programming, generative models},
    doi = {},
    url = {http://danroy.org/papers/church_GooManRoyBonTen-UAI-2008.pdf}
    }
  • J. K. Hamlin, T. D. Ullman, J. B. Tenenbaum, N. D. Goodman, C. L. Baker:
    The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model (web) (bibtex)
    Developmental Science
    #morality, #infants, #goal inference, #theory of mind, #inverse planning
    @article{J.K.Hamlin:2013:c9046,
    author = {J. K. Hamlin and T. D. Ullman and J. B. Tenenbaum and N. D. Goodman and C. L. Baker},
    journal = {Developmental Science},
    title = {The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model},
    year = {2013},
    keywords = {morality, infants, goal inference, theory of mind, inverse planning},
    doi = {},
    url = {http://onlinelibrary.wiley.com/doi/10.1111/desc.12017/abstract}
    }
  • N. D. Goodman, T. D. Ullman, and J. B. Tenenbaum:
    Learning a theory of causality (pdf) (bibtex)
    Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society
    #causality, #theory learning, #causal networks
    @article{N.D.Goodman:2009:c52b4,
    author = {N. D. Goodman and T. D. Ullman and and J. B. Tenenbaum},
    journal = {Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society},
    title = {Learning a theory of causality},
    year = {2009},
    keywords = {causality, theory learning, causal networks},
    doi = {},
    url = {http://www.stanford.edu/~ngoodman/papers/LTBC_v2.pdf}
    }
  • N. D. Goodman, T. D. Ullman, and J. B. Tenenbaum:
    Learning a theory of causality (pdf) (bibtex)
    Psychological review
    #causality, #theory learning, #causal networks
    @article{N.D.Goodman:2011:7e2b8,
    author = {N. D. Goodman and T. D. Ullman and and J. B. Tenenbaum},
    journal = {Psychological review},
    title = {Learning a theory of causality},
    year = {2011},
    keywords = {causality, theory learning, causal networks},
    doi = {},
    url = {http://www.stanford.edu/~ngoodman/papers/LTBC_psychreview_final.pdf}
    }
  • N. D. Goodman, A. Stuhlmueller:
    Knowledge and implicature: Modeling language understanding as social cognition (pdf) (bibtex)
    Topics in Cognitive Science
    #language, #pragmatics
    @article{N.D.Goodman:2013:23996,
    author = {N. D. Goodman and A. Stuhlmueller},
    journal = {Topics in Cognitive Science},
    title = {Knowledge and implicature: Modeling language understanding as social cognition},
    year = {2013},
    keywords = {language, pragmatics},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/implicature-topics2013.pdf}
    }
  • A. Stuhlmueller, N. D. Goodman:
    Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs (pdf) (bibtex)
    Journal of Cognitive Systems Research
    #theory of mind, #probabilistic programming
    @article{A.Stuhlmueller:2013:55d25,
    author = {A. Stuhlmueller and N. D. Goodman},
    journal = {Journal of Cognitive Systems Research},
    title = {Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs},
    year = {2013},
    keywords = {theory of mind, probabilistic programming},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/nested-conditioning-cogsys2013.pdf}
    }
  • A. Stuhlmueller, N. D. Goodman:
    A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs (web) (bibtex)
    Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
    #dynamic programming, #inference, #probabilistic programming
    @article{A.Stuhlmueller:2012:da21e,
    author = {A. Stuhlmueller and N. D. Goodman},
    journal = {Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)},
    title = {A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs},
    year = {2012},
    keywords = {dynamic programming, inference, probabilistic programming},
    doi = {},
    url = {http://arxiv.org/abs/1206.3555}
    }
  • I. Hwang, A. Stuhlmueller, N. D. Goodman:
    Inducing Probabilistic Programs by Bayesian Program Merging (web) (bibtex)
    Technical Report. arXiv:1110.5667 [cs.AI]
    #probabilistic programming, #program induction
    @article{I.Hwang:2011:0c73e,
    author = {I. Hwang and A. Stuhlmueller and N. D. Goodman},
    journal = {Technical Report. arXiv:1110.5667 [cs.AI]},
    title = {Inducing Probabilistic Programs by Bayesian Program Merging},
    year = {2011},
    keywords = {probabilistic programming, program induction},
    doi = {},
    url = {http://arxiv.org/abs/1110.5667}
    }
  • D. Wingate, N. D. Goodman, A. Stuhlmueller, J. M. Siskind:
    Nonstandard Interpretations of Probabilistic Programs for Efficient Inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems (NIPS) 24
    #probabilistic programming, #inference
    @article{D.Wingate:2011:ac593,
    author = {D. Wingate and N. D. Goodman and A. Stuhlmueller and J. M. Siskind},
    journal = {Advances in Neural Information Processing Systems (NIPS) 24},
    title = {Nonstandard Interpretations of Probabilistic Programs for Efficient Inference},
    year = {2011},
    keywords = {probabilistic programming, inference},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/nonstandard-interpretations-nips2011.pdf}
    }
  • T. Gerstenberg, N. D. Goodman, D. A. Lagnado, J. B. Tenenbaum:
    From counterfactual simulation to causal judgment (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
    #causality, #counterfactuals, #simulation, #intuitive physics, #attribution
    @article{T.Gerstenberg:2014:10b25,
    author = {T. Gerstenberg and N. D. Goodman and D. A. Lagnado and J. B. Tenenbaum},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {From counterfactual simulation to causal judgment},
    year = {2014},
    keywords = {causality, counterfactuals, simulation, intuitive physics, attribution},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/From%20counterfactual%20simulation%20to%20causal%20judgment%20(Gerstenberg%20et%20al,%202014).pdf}
    }

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