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Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines



Sreejan Kumar , Carlos G. Correa , Ishita Dasgupta , Raja Marjieh , Michael Y. Hu , Robert D. Hawkins , Nathaniel D. Daw , Jonathan D. Cohen , Karthik Narasimhan , Thomas L. Griffiths


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Identifying concept libraries from language about object structure



Catherine Wong , William P. McCarthy , Gabriel Grand , Yoni Friedman , Joshua B. Tenenbaum , Jacob Andreas , Robert D. Hawkins , Judith E. Fan

* Appears in the conference proceedings of CogSci 2022 

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Linguistic communication as (inverse) reward design



Theodore R. Sumers , Robert D. Hawkins , Mark K. Ho , Thomas L. Griffiths , Dylan Hadfield-Menell

* 6 pages, 3 figures. Accepted at Learning from Natural Language Supervision workshop (ACL 2022) 

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Probing BERT's priors with serial reproduction chains



Takateru Yamakoshi , Thomas L. Griffiths , Robert D. Hawkins

* Findings of ACL 2022 

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A pragmatic account of the weak evidence effect



Samuel A. Barnett , Robert D. Hawkins , Thomas L. Griffiths

* Under review 

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Visual resemblance and communicative context constrain the emergence of graphical conventions



Robert D. Hawkins , Megumi Sano , Noah D. Goodman , Judith E. Fan

* 26 pages; 8 figures; submitted version of manuscript 

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Learning to communicate about shared procedural abstractions



William P. McCarthy , Robert D. Hawkins , Haoliang Wang , Cameron Holdaway , Judith E. Fan


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Extending rational models of communication from beliefs to actions



Theodore R. Sumers , Robert D. Hawkins , Mark K. Ho , Thomas L. Griffiths

* 7 pages, 4 figures. Proceedings for the 43rd Annual Meeting of the Cognitive Science Society 

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Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task



Sonia K. Murthy , Robert D. Hawkins , Thomas L. Griffiths

* under review 

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