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33 changes: 33 additions & 0 deletions content/publication/amemiya2023disagreement.md
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title = "Children use disagreement to infer what happened"
date = "2023-09-09"
authors = ["J. Amemiya","G. D. Heyman","T. Gerstenberg"]
publication_types = ["1"]
publication_short = "_PsyArXiv_"
publication = "Amemiya J., Heyman G. D., Gerstenberg T. (2023). Children use disagreement to infer what happened. _PsyArXiv_."
abstract = "A challenge when figuring out what happened based on what others say is that they might disagree. Two preregistered experiments examined how children age 7 to 11 years use disagreement to make inferences about social events. Specifically, when there is no reason to question the reliability of either informant, can children use disagreement to infer that an ambiguous social event occurred? Experiment 1 (N = 52) found that children are indeed more likely to infer that an ambiguous social event occurred after learning that people disagreed (versus agreed) about what happened and that these inferences become stronger with age. Experiment 2 (N = 110) examined children's ability to predict that an ambiguous social event would cause disagreement and applied a computational model to examine the extent to which predictions explained their inferences. Children made the expected predictions and their inferences were consistent with the computational model, indicating that the ability to predict disagreement plays an important role for drawing inferences about what happened."
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#url_pdf = "papers/amemiya2023disagreement.pdf"
url_preprint = "https://psyarxiv.com/y79sd/"
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# image = "publications/amemiya2023disagreement.png"
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<h2>Publications</h2>

<ul>
<li><a href="https://cicl.stanford.edu/publication/amemiya2023disagreement/">Children use disagreement to infer what happened</a></li>
</ul>

<ul>
<li><a href="https://cicl.stanford.edu/publication/beller2023language/">A counterfactual simulation model of causal language</a></li>
</ul>
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<li><a href="https://cicl.stanford.edu/publication/gerstenberg2023criticality/">Making a positive difference: Criticality in groups</a></li>
</ul>

<ul>
<li><a href="https://cicl.stanford.edu/publication/wu2023computational/">A computational model of responsibility judgments from counterfactual simulations and intention inferences</a></li>
</ul>




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12 changes: 11 additions & 1 deletion docs/bibtex/cic_papers.bib
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%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/
%% Created for Tobias Gerstenberg at 2023-07-04 18:19:08 -0700
%% Created for Tobias Gerstenberg at 2023-09-09 11:58:58 -0700
%% Saved with string encoding Unicode (UTF-8)
@article{amemiya2023disagreement,
abstract = {A challenge when figuring out what happened based on what others say is that they might disagree. Two preregistered experiments examined how children age 7 to 11 years use disagreement to make inferences about social events. Specifically, when there is no reason to question the reliability of either informant, can children use disagreement to infer that an ambiguous social event occurred? Experiment 1 (N = 52) found that children are indeed more likely to infer that an ambiguous social event occurred after learning that people disagreed (versus agreed) about what happened and that these inferences become stronger with age. Experiment 2 (N = 110) examined children's ability to predict that an ambiguous social event would cause disagreement and applied a computational model to examine the extent to which predictions explained their inferences. Children made the expected predictions and their inferences were consistent with the computational model, indicating that the ability to predict disagreement plays an important role for drawing inferences about what happened.},
author = {Jamie Amemiya and Gail D. Heyman and Tobias Gerstenberg},
date-added = {2023-09-09 11:57:43 -0700},
date-modified = {2023-09-09 11:58:57 -0700},
journal = {PsyArXiv},
title = {Children use disagreement to infer what happened},
url = {https://psyarxiv.com/y79sd/},
year = {2023}}

@article{beller2023language,
abstract = {The words we use to describe what happened shape the story a listener imagines. How do speakers choose what causal expression to use? How does that impact what listeners infer about what happened? In this paper, we develop a computational model of how people use the causal expressions "caused", "enabled", "affected", and "made no difference". The model first builds a causal representation of what happened. By running counterfactual simulations, the model computes causal aspects that capture the different ways in which a candidate cause made a difference to the outcome. Logical combinations of these aspects define a semantics for the different causal expressions. The model then uses pragmatic inference favoring informative utterances to decide what word to use in context. We test our model in a series of experiments. In a set of psycholinguistic studies, we verify semantic and pragmatic assumptions of our model. We show that the causal expressions exist on a hierarchy of informativeness, and that participants draw informative pragmatic inferences in line with this scale. In the next two studies, we demonstrate that our model quantitatively fits participant behavior in a speaker task and a listener task involving dynamic physical scenarios. We compare our model to two lesioned alternatives, one which removes the pragmatic inference component, and another which additionally removes the semantics of the causal expressions. Our full model better accounts for participants' behavior than both alternatives, suggesting that causal knowledge, semantics, and pragmatics are all important for understanding how people produce and comprehend causal language.},
author = {Aaron Beller and Tobias Gerstenberg},
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2 changes: 1 addition & 1 deletion docs/index.html
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<meta property="og:updated_time" content="2023-09-09T00:00:00&#43;00:00">



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20 changes: 10 additions & 10 deletions docs/index.xml
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<title>Active causal structure learning in continuous time</title>
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37 changes: 37 additions & 0 deletions docs/member/tobias_gerstenberg/index.html
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<div class="pub-list-item" style="margin-bottom: 1rem" itemscope itemtype="http://schema.org/CreativeWork">
<span itemprop="author">
J. Amemiya, G. D. Heyman, T. Gerstenberg</span>

(2023).

<a href="https://cicl.stanford.edu/publication/amemiya2023disagreement/" itemprop="name">Children use disagreement to infer what happened</a>.
<em>PsyArXiv</em>.

<p>



<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://psyarxiv.com/y79sd/" target="_blank" rel="noopener">
Preprint
</a>















<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://github.com/cicl-stanford/children_disagree" target="_blank" rel="noopener">
Github
</a>

</p>
</div>
<div class="pub-list-item" style="margin-bottom: 1rem" itemscope itemtype="http://schema.org/CreativeWork">
<span itemprop="author">
A. Beller, T. Gerstenberg</span>

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