@article {4814,
	title = {Online Developmental Science to Foster Innovation, Access, and Impact},
	journal = {Trends in Cognitive Sciences},
	volume = {24},
	year = {2020},
	month = {09/2020},
	pages = {675 - 678},
	issn = {13646613},
	doi = {10.1016/j.tics.2020.06.004},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1364661320301455},
	author = {Sheskin, Mark and Scott, Kimberly and Mills, Candice M. and Bergelson, Elika and Bonawitz, Elizabeth and Elizabeth S Spelke and Fei-Fei, Li and Keil, Frank C. and Gweon, Hyowon and Joshua B. Tenenbaum and Julian Jara-Ettinger and Adolph, Karen E. and Rhodes, Marjorie and Frank, Michael C. and Mehr, Samuel A. and Laura Schulz}
}
@article {4553,
	title = {Response patterns in the developing social brain are organized by social and emotion features and disrupted in children diagnosed with autism spectrum disorder},
	journal = {Cortex},
	volume = {125},
	year = {2020},
	month = {Jan-04-2020},
	pages = {12 - 29},
	issn = {00109452},
	doi = {10.1016/j.cortex.2019.11.021},
	url = {https://www.ncbi.nlm.nih.gov/pubmed/31958654},
	author = {Richardson, Hilary and Hyowon Gweon and Dodell-Feder, David and Malloy, Caitlin and Pelton, Hannah and Keil, Boris and Nancy Kanwisher and Rebecca Saxe}
}
@article {2492,
	title = {The naive utility calculus: computational principles underlying social cognition},
	journal = {Trends Cogn Sci.},
	year = {2016},
	doi = {10.1016/j.tics.2016.05.011},
	url = {https://www.ncbi.nlm.nih.gov/pubmed/27388875},
	author = {Julian Jara-Ettinger and Hyowon Gweon and Laura Schulz and Joshua B. Tenenbaum}
}
@article {1194,
	title = {Children{\textquoteright}s understanding of the costs and rewards underlying rational action},
	journal = {Cognition},
	volume = {140},
	year = {2015},
	month = {07/2015},
	pages = {14{\textendash}23},
	abstract = {<p>Humans explain and predict other agents{\textquoteright} behavior using mental state concepts, such as beliefs and desires. Computational and developmental evidence suggest that such inferences are enabled by a principle of rational action: the expectation that agents act efficiently, within situational constraints, to achieve their goals. Here we propose that the expectation of rational action is instantiated by a na{\"\i}ve utility calculus sensitive to both agent-constant and agent-specific aspects of costs and rewards associated with actions. In four experiments, we show that, given an agent{\textquoteright}s choices, children (range: 5-6 year olds; N=96) can infer unobservable aspects of costs (differences in agents{\textquoteright} competence) from information about subjective differences in rewards (differences in agents{\textquoteright} preferences) and vice versa. Moreover, children can design informative experiments on both objects and agents to infer unobservable constraints on agents{\textquoteright} actions.</p>
},
	doi = {10.1016/j.cognition.2015.03.006},
	url = {http://www.sciencedirect.com/science/article/pii/S0010027715000566},
	author = {Julian Jara-Ettinger and Hyowon Gweon and Joshua B. Tenenbaum and Laura Schulz}
}
