@article{67,
title = {Rational quantitative attribution of beliefs, desires and percepts in human mentalizing},
author = {Chris L. Baker and Julian Jara-Ettinger and Rebecca Saxe and Joshua B. Tenenbaum},
url = {http://www.nature.com/articles/s41562-017-0064
https://saxelab.mit.edu/wp-content/uploads/2018/11/Baker.etal_.2017.pdf, PDF},
doi = {10.1038/s41562-017-0064},
year  = {2017},
date = {2017-03-01},
urldate = {2017-03-01},
journal = {Nature Human Behaviour},
abstract = {<p>Social cognition depends on our capacity for ‘mentalizing’, or explaining an agent’s behaviour in terms of their mental states. The development and neural substrates of mentalizing are well-studied, but its computational basis is only beginning to be probed. Here we present a model of core mentalizing computations: inferring jointly an actor’s beliefs, desires and percepts from how they move in the local spatial environment. Our Bayesian theory of mind (BToM) model is based on probabilistically inverting artificial-intelligence approaches to rational planning and state estimation, which extend classical expected-utility agent models to sequential actions in complex, partially observable domains. The model accurately captures the quantitative mental-state judgements of human participants in two experiments, each varying multiple stimulus dimensions across a large number of stimuli. Comparative model fits with both simpler ‘lesioned’ BToM models and a family of simpler non-mentalistic motion features reveal the value contributed by each component of our model.</p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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