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Uniquely among primates, humans possess a remarkable capacity to recognize and manipulate abstract structure in the service of task goals across a broad range of behaviors.
The language of thought , volume 5
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Gary F Marcus · 2003
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Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds
Derek C Penn, Keith J Holyoak, and Daniel J Povinelli · 2008
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Letting structure emerge: connectionist and dynamical systems approaches to cognition
James L McClelland, Matthew M Botvinick, David C Noelle, David C Plaut, Timothy T Rogers, Mark S Seidenberg, and Linda B Smith · 2010
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Learning a theory of causality
Noah D Goodman, Tomer D Ullman, and Joshua B Tenenbaum · 2011
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A 100,000-year-old ochre-processing workshop at blombos cave, south africa
Christopher S Henshilwood, Francesco d’Errico, Karen L Van Niekerk, Yvan Coquinot, Zenobia Jacobs, Stein-Erik Lauritzen, Michel Menu, and Renata García-Moreno · 2011
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Keith J Holyoak · 2012
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Bootstrapping in a language of thought: A formal model of numerical concept learning
Steven T Piantadosi, Joshua B Tenenbaum, and Noah D Goodman · 2012
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The origin of representational drawing: a comparison of human children and chimpanzees
Aya Saito, Misato Hayashi, Hideko Takeshita, and Tetsuro Matsuzawa · 2014
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Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
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Why only us: Language and evolution
Robert C Berwick and Noam Chomsky · 2016
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The logical primitives of thought: Empirical foundations for compositional cognitive models
Steven T Piantadosi, Joshua B Tenenbaum, and Noah D Goodman · 2016
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On the blessing of abstraction
Samuel J Gershman · 2017
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Building machines that learn and think like people
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman · 2017
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A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, and Timothy Lillicrap · 2017
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Measuring abstract reasoning in neural networks
David Barrett, Felix Hill, Adam Santoro, Ari Morcos, and Timothy Lillicrap · 2018
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Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer, Lucas Morales, Luke Hewitt, Luc Cary, Armando Solar-Lezama, and Joshua B Tenenbaum · 2021
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Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity
Mathias Sablé-Meyer, Joël Fagot, Serge Caparos, Timo van Kerkoerle, Marie Amalric, and Stanislas Dehaene · 2021
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Are convolutional neural networks or transformers more like human vision?
Shikhar Tuli, Ishita Dasgupta, Erin Grant, and Thomas L Griffiths · 2021
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Data distributional properties drive emergent in-context learning in transformers
Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James McClelland, and Felix Hill · 2022
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Symbols and mental programs: a hypothesis about human singularity
Stanislas Dehaene, Fosca Al Roumi, Yair Lakretz, Samuel Planton, and Mathias Sablé-Meyer · 2022
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Using natural language and program abstractions to instill human inductive biases in machines
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