Publications

    Intuitive Physics

  • T. Gerstenberg, N.D. Goodman, D.A. Lagnado, J.B. Tenenbaum:
    Noisy Newtons: Unifying process and dependency accounts of causal attribution (pdf) (bibtex)
    Proceedings of the 34th Annual Conference of the Cognitive Science Society
    #causality, #counterfactuals, #attribution, #intuitive physics
    @article{T.Gerstenberg:2012:8162b,
    author = {T. Gerstenberg and N.D. Goodman and D.A. Lagnado and J.B. Tenenbaum},
    journal = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
    title = {Noisy Newtons: Unifying process and dependency accounts of causal attribution},
    year = {2012},
    keywords = {causality, counterfactuals, attribution, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Noisy%20Newtons%20Unifying%20process%20and%20dependency%20accounts%20of%20causal%20attribution,%20Gerstenberg%20et%20al.,%202012.pdf}
    }
  • Smith KA, Battaglia PW, Vul E:
    Consistent physics underlying ballistic motion prediction (pdf) (bibtex)
    Proceedings of the 35th Annual Conference of the Cognitive Science Society
    #intuitive physics, #bayesian model
    @article{SmithKA:2013:18706,
    author = {Smith KA and Battaglia PW and Vul E},
    journal = {Proceedings of the 35th Annual Conference of the Cognitive Science Society},
    title = { Consistent physics underlying ballistic motion prediction},
    year = {2013},
    keywords = {intuitive physics, bayesian model},
    doi = {},
    url = {http://web.mit.edu/~pbatt/www/publications/SmitBattVul13CogSci35.pdf}
    }
  • Hamrick JB, Battaglia PW, Tenenbaum JB:
    Internal physics models guide probabilistic judgments about object dynamics (pdf) (bibtex)
    33rd Annual Conference of the Cognitive Science Society
    #intuitive physics, #bayesian model
    @article{HamrickJB:2011:c46f3,
    author = {Hamrick JB and Battaglia PW and Tenenbaum JB},
    journal = {33rd Annual Conference of the Cognitive Science Society},
    title = { Internal physics models guide probabilistic judgments about object dynamics},
    year = {2011},
    keywords = {intuitive physics, bayesian model},
    doi = {},
    url = {http://web.mit.edu/~pbatt/www/publications/HamrBattTene11CogSci33.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}
    }
  • Neil Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum:
    Natural science: Active learning in dynamic physical microworlds (pdf) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
    #causality, #learning, #intuitive physics
    @article{NeilBramley:2016:87d9f,
    author = {Neil Bramley and Tobias Gerstenberg and Joshua B. Tenenbaum},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {Natural science: Active learning in dynamic physical microworlds},
    year = {2016},
    keywords = {causality, learning, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Natural%20science%20Active%20learning%20in%20dynamic%20physical%20microworlds,%20Bramley,%20Gerstenberg,%20Tenenbaum,%202016.pdf}
    }
  • Tobias Gerstenberg, Joshua B. Tenenbaum:
    Understanding “almost”: Empirical and computational studies of near misses (pdf) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
    #counterfactuals, #causality, #intuitive physics, #language, #almost
    @article{TobiasGerstenberg:2016:5328e,
    author = {Tobias Gerstenberg and Joshua B. Tenenbaum},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {Understanding “almost”: Empirical and computational studies of near misses},
    year = {2016},
    keywords = {counterfactuals, causality, intuitive physics, language, almost},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Understanding%20almost%20Empirical%20and%20computational%20studies%20of%20near%20misses,%20Gerstenberg,%20Tenenbaum,%202016.pdf}
    }
  • Tobias Gerstenberg, Noah Goodman, David Lagnado, Joshua Tenenbaum:
    How, whether, why: Causal judgments as counterfactual contrasts (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society
    #causality, #counterfactuals, #intuitive physics
    @article{TobiasGerstenberg:2015:8b39b,
    author = {Tobias Gerstenberg and Noah Goodman and David Lagnado and Joshua Tenenbaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society},
    title = {How, whether, why: Causal judgments as counterfactual contrasts},
    year = {2015},
    keywords = {causality, counterfactuals, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/How,%20whether,%20why%20Causal%20judgments%20as%20counterfactual%20contrasts,%20Gerstenberg%20et%20al.,%202015.pdf}
    }
  • Noah Goodman, Joshua Tenenbaum, Tobias Gerstenberg:
    Concepts in a probabilistic language of thought (pdf) (bibtex)
    The Conceptual Mind: New Directions in the Study of Concepts
    #concepts, #representation, #learning, #causality, #intuitive physics, #intuitive psychology
    @article{NoahGoodman:2015:d2016,
    author = {Noah Goodman and Joshua Tenenbaum and Tobias Gerstenberg},
    journal = {The Conceptual Mind: New Directions in the Study of Concepts},
    title = {Concepts in a probabilistic language of thought},
    year = {2015},
    keywords = {concepts, representation, learning, causality, intuitive physics, intuitive psychology},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Concepts%20in%20a%20probabilistic%20language%20of%20thought%20(Goodman,%20Tenenbaum,%20Gerstenberg,%202014).pdf}
    }
  • Michael Chang, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum:
    A Compositional Object-Based Approach To Learning Physical Dynamics (web) (bibtex)
    Proceedings of the 5th International Conference on Learning Representations
    #intuitive physics, #simulation, #deep learning, #unsupervised learning, #scene understanding
    @article{MichaelChang:2017:07f51,
    author = {Michael Chang and Tomer Ullman and Antonio Torralba and Joshua B. Tenenbaum},
    journal = {Proceedings of the 5th International Conference on Learning Representations},
    title = {A Compositional Object-Based Approach To Learning Physical Dynamics},
    year = {2017},
    keywords = {intuitive physics, simulation, deep learning, unsupervised learning, scene understanding},
    doi = {},
    url = {https://arxiv.org/abs/1612.00341}
    }
  • Kevin A Smith, Filipe de A B Peres, Edward Vul, Joshua B Tenenbaum:
    Thinking inside the box: Motion prediction in contained spaces uses simulation (pdf) (bibtex)
    Cognitive Science Society
    #intuitive physics, #simulation, #topology, #containers
    @article{KevinASmith:2017:2a5ea,
    author = {Kevin A Smith and Filipe de A B Peres and Edward Vul and Joshua B Tenenbaum},
    journal = {Cognitive Science Society},
    title = {Thinking inside the box: Motion prediction in contained spaces uses simulation},
    year = {2017},
    keywords = {intuitive physics, simulation, topology, containers},
    doi = {},
    url = {http://scripts.mit.edu/~k2smith/publications/Smith_CogSci_Topology.pdf}
    }
  • Tobias Gerstenberg, Joshua B. Tenenbaum:
    Intuitive Theories (pdf) (bibtex)
    Oxford Handbook of Causal Reasoning
    #intuitive theories, #causality, #counterfactuals, #intuitive physics, #intuitive psychology
    @article{TobiasGerstenberg:2017:9a988,
    author = {Tobias Gerstenberg and Joshua B. Tenenbaum},
    journal = {Oxford Handbook of Causal Reasoning},
    title = {Intuitive Theories},
    year = {2017},
    keywords = {intuitive theories, causality, counterfactuals, intuitive physics, intuitive psychology},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Intuitive%20Theories,%20Gerstenberg,%20Tenenbaum,%202017.pdf}
    }
  • Tobias Gerstenberg, Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum:
    Faulty towers: A hypothetical simulation model of physical support (pdf) (bibtex)
    Proceedings of the 39th Annual Conference of the Cognitive Science Society
    #causality, #counterfactual, #hypothetical, #mental simulation, #intuitive physics, #physical support
    @article{TobiasGerstenberg:2017:d421a,
    author = {Tobias Gerstenberg and Liang Zhou and Kevin A. Smith and Joshua B. Tenenbaum},
    journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
    title = {Faulty towers: A hypothetical simulation model of physical support},
    year = {2017},
    keywords = {causality, counterfactual, hypothetical, mental simulation, intuitive physics, physical support},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Intuitive%20Theories,%20Gerstenberg,%20Tenenbaum,%202017.pdf}
    }
  • Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussant, Joshua B. Tenenbaum:
    Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints (pdf) (bibtex)
    Proceedings of the 39th Annual Conference of the Cognitive Science Society
    #planning, #problem solving, #logic-geometric programming, #intuitive physics, #scene understanding
    @article{IlkerYildirim:2017:b8461,
    author = {Ilker Yildirim and Tobias Gerstenberg and Basil Saeed and Marc Toussant and Joshua B. Tenenbaum},
    journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
    title = {Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints},
    year = {2017},
    keywords = {planning, problem solving, logic-geometric programming, intuitive physics, scene understanding},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Physical%20problem%20solving%20Joint%20planning%20with%20symbolic,%20geometric,%20and%20dynamic%20constraints,%20Yildirim%20et%20al.,%202017.pdf}
    }
  • Simon Stephan, Pascale Willemsen, Tobias Gerstenberg:
    Marbles in Inaction: Counterfactual Simulation and Causation by Omission (pdf) (bibtex)
    Proceedings of the 39th Annual Conference of the Cognitive Science Society
    #causality, #counterfactuals, #causation by omission, #causal attribution, #mental simulation, #intuitive physics
    @article{SimonStephan:2017:26b30,
    author = {Simon Stephan and Pascale Willemsen and Tobias Gerstenberg},
    journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
    title = {Marbles in Inaction: Counterfactual Simulation and Causation by Omission},
    year = {2017},
    keywords = {causality, counterfactuals, causation by omission, causal attribution, mental simulation, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Marbles%20in%20Inaction%20Counterfactual%20Simulation%20and%20Causation%20by%20Omission,%20Stephan,%20Willemsen,%20Gerstenberg,%202017.pdf}
    }
  • Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
    A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding (web) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
    #intuitive physics, #simulation, #deep learning, #scene understanding
    @article{RenqiaoZhang:2016:84ee7,
    author = {Renqiao Zhang and Jiajun Wu and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding},
    year = {2016},
    keywords = {intuitive physics, simulation, deep learning, scene understanding},
    doi = {},
    url = {http://blocks.csail.mit.edu/}
    }
  • Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
    Physics 101: Learning Physical Object Properties from Unlabeled Videos (web) (bibtex)
    British Machine Vision Conference (BMVC)
    #intuitive physics, #unsupervised learning, #deep learning, #scene understanding
    @article{JiajunWu:2016:9e6c9,
    author = {Jiajun Wu and Joseph J. Lim and Hongyi Zhang and Joshua B. Tenenbaum and William T. Freeman},
    journal = {British Machine Vision Conference (BMVC)},
    title = {Physics 101: Learning Physical Object Properties from Unlabeled Videos},
    year = {2016},
    keywords = {intuitive physics, unsupervised learning, deep learning, scene understanding},
    doi = {},
    url = {http://phys101.csail.mit.edu/}
    }
  • Jiajun Wu, Ilker Yildirim, Joseph J. Lim, William T. Freeman, Joshua B. Tenenbaum:
    Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #intuitive physics, #simulation, #deep learning, #unsupervised learning, #scene understanding
    @article{JiajunWu:2015:27dc4,
    author = {Jiajun Wu and Ilker Yildirim and Joseph J. Lim and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning},
    year = {2015},
    keywords = {intuitive physics, simulation, deep learning, unsupervised learning, scene understanding},
    doi = {},
    url = {http://galileo.csail.mit.edu/}
    }
  • Jiajun Wu, Erika Lu, Pushmeet Kohli, William T. Freeman, Joshua B. Tenenbaum:
    Learning to See Physics via Visual De-animation (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #intuitive physics, #simulation, #deep learning, #scene understanding
    @article{JiajunWu:2017:4849f,
    author = {Jiajun Wu and Erika Lu and Pushmeet Kohli and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Learning to See Physics via Visual De-animation},
    year = {2017},
    keywords = {intuitive physics, simulation, deep learning, scene understanding},
    doi = {},
    url = {http://vda.csail.mit.edu/}
    }
  • Tobias Gerstenberg, Matthew F Peterson, Noah D Goodman, David A Lagnado, Joshua B Tenenbaum:
    Eye-Tracking Causality (web) (doi) (bibtex)
    Psychological Science
    #causality, #counterfactuals, #mental simulation, #intuitive physics, #eye tracking, #open data, #open materials
    @article{TobiasGerstenberg:2017:9fd98,
    author = {Tobias Gerstenberg and Matthew F Peterson and Noah D Goodman and David A Lagnado and Joshua B Tenenbaum},
    journal = {Psychological Science},
    title = { Eye-Tracking Causality},
    year = {2017},
    keywords = {causality, counterfactuals, mental simulation, intuitive physics, eye tracking, open data, open materials},
    doi = {10.1177/0956797617713053},
    url = {http://journals.sagepub.com/doi/10.1177/0956797617713053}
    }
  • Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman:
    Building Machines That Learn and Think Like People (web) (doi) (bibtex)
    Behavioral and Brain Sciences
    #artificial intelligence, #intuitive theories, #intuitive physics, #intuitive psychology, #compositionality, #learning to learn
    @article{BrendenMLake:2017:59b19,
    author = {Brenden M Lake and Tomer D Ullman and Joshua B Tenenbaum and Samuel J Gershman},
    journal = {Behavioral and Brain Sciences},
    title = {Building Machines That Learn and Think Like People},
    year = {2017},
    keywords = {artificial intelligence, intuitive theories, intuitive physics, intuitive psychology, compositionality, learning to learn},
    doi = {10.1017/S0140525X16001837},
    url = {https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/building-machines-that-learn-and-think-like-people/A9535B1D745A0377E16C590E14B94993}
    }

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