updated smith reference

cicl-stanford · Dec 18, 2024 · d2ec6f0 · d2ec6f0
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diff --git a/content/publication/smith2023probabilistic.md b/content/publication/smith2023probabilistic.md
@@ -7,24 +7,24 @@
 # 5 -> 'Thesis'
 
 title = "Probabilistic models of physical reasoning"
-date = "2023-01-01"
-year = "{in press}"
+date = "2024-01-01"
+year = "2024"
 authors = ["K. A. Smith","J. B. Hamrick","A. N. Sanborn","P. W. Battaglia","T. Gerstenberg","T. D. Ullman","J. B. Tenenbaum"]
-publication_types = ["0", "4"]
+publication_types = ["4"]
 publication_short = "_Reverse engineering the mind: The Bayesian approach to cognitive science_"
-publication = "Smith K. A., Hamrick J. B., Sanborn A. N., Battaglia P. W., Gerstenberg T., Ullman T. D., Tenenbaum J. B. (in press). Probabilistic models of physical reasoning. In _Reverse engineering the mind: The Bayesian approach to cognitive science_."
+publication = "Smith K. A., Hamrick J. B., Sanborn A. N., Battaglia P. W., Gerstenberg T., Ullman T. D., Tenenbaum J. B. (in press). Probabilistic models of physical reasoning. In _Bayesian Models of Cognition: Reverse Engineering the Mind_."
 image_preview = ""
 selected = false
 projects = []
-url_pdf = "papers/smith2023probabilistic.pdf"
+url_pdf = "papers/smith2024probabilistic.pdf"
 url_preprint = ""
 url_code = ""
 url_dataset = ""
 url_slides = ""
 url_video = ""
 url_poster = ""
 url_source = ""
-#url_custom = [{name = "Github", url = ""}]
+url_custom = [{name = "Link", url = "https://mitpress.ublish.com/ebook/bayesian-models-of-cognition-reverse-engineering-the-mind-preview/12799/369"}]
 math = true
 highlight = true
 [header]

diff --git a/docs/bibtex/cic_papers.bib b/docs/bibtex/cic_papers.bib
@@ -1,7 +1,7 @@
 %% This BibTeX bibliography file was created using BibDesk.
 %% https://bibdesk.sourceforge.io/
 
-%% Created for Tobias Gerstenberg at 2024-11-24 10:45:20 -0800 
+%% Created for Tobias Gerstenberg at 2024-12-18 18:26:54 +0100 
 
 
 %% Saved with string encoding Unicode (UTF-8) 
@@ -505,15 +505,15 @@ @article{gong2023active
 	bdsk-url-1 = {https://osf.io/jg2c5},
 	bdsk-url-2 = {https://doi.org/10.31234/osf.io/jg2c5}}
 
-@incollection{smith2023probabilistic,
+@incollection{smith2024probabilistic,
 	author = {Kevin A. Smith and Jessica B. Hamrick and Adam N. Sanborn and Peter W. Battaglia and Tobias Gerstenberg and Tomer D. Ullman and Joshua B. Tenenbaum},
-	booktitle = {Reverse engineering the mind: The Bayesian approach to cognitive science},
+	booktitle = {Bayesian Models of Cognition: Reverse Engineering the Mind},
 	date-added = {2022-03-08 23:06:02 -0800},
-	date-modified = {2023-10-15 13:46:44 -0700},
+	date-modified = {2024-12-18 18:26:54 +0100},
 	editor = {Tom L. Griffiths and Nick Chater and Joshua B. Tenenbaum},
-	publisher = {Mit Press},
+	publisher = {MIT Press},
 	title = {Probabilistic models of physical reasoning},
-	year = {{in press}}}
+	year = {2024}}
 
 @article{zhou2023jenga,
 	abstract = {From building towers to picking an orange from a stack of fruit, assessing support is critical for successfully interacting with the physical world. But how do people determine whether one object supports another? In this paper we develop the Counterfactual Simulation Model (CSM) of physical support. The CSM predicts that people judge physical support by mentally simulating what would happen to a scene if the object of interest were removed. Three experiments test the model by asking one group of participants to judge what would happen to a tower if one of the blocks were removed, and another group of participants how responsible that block was for the tower's stability. The CSM accurately captures participants' predictions about what would happen by running noisy simulations that incorporate different sources of uncertainty. Participants' responsibility judgments are closely related to counterfactual predictions: the more likely the tower would be predicted to fall if a block were removed, the more responsible this block was judged for the tower's stability. By construing physical support as preventing from falling, the CSM provides a unified account across dynamic and static physical scenes of how causal judgments arise from the process of counterfactual simulation.},

diff --git a/docs/home/index.xml b/docs/home/index.xml
@@ -15,7 +15,7 @@
     <item>
       <title>Causality in Cognition Lab</title>
       <link>https://cicl.stanford.edu/home/home/</link>
-      <pubDate>Sun, 15 Oct 2017 00:00:00 -0700</pubDate>
+      <pubDate>Sun, 15 Oct 2017 00:00:00 +0200</pubDate>
 
       <guid>https://cicl.stanford.edu/home/home/</guid>
       <description>The Causality in Cognition Lab at Stanford University studies the role of causality in our understanding of the world and of each other.</description>
@@ -53,7 +53,7 @@ We are looking to hire a lab manager to start in the fall of 2018. For informati
     <item>
       <title>Selected&lt;br&gt;publications</title>
       <link>https://cicl.stanford.edu/home/publications_selected/</link>
-      <pubDate>Wed, 20 Apr 2016 00:00:00 -0700</pubDate>
+      <pubDate>Wed, 20 Apr 2016 00:00:00 +0200</pubDate>
 
       <guid>https://cicl.stanford.edu/home/publications_selected/</guid>
       <description></description>

diff --git a/docs/member/tobias_gerstenberg/index.html b/docs/member/tobias_gerstenberg/index.html
@@ -1268,6 +1268,49 @@ <h2 id="publications">Publications</h2>
 </a>
 
 
+  </p>
+
+</div>
+<div class="pub-list-item" style="margin-bottom: 1rem" itemscope itemtype="http://schema.org/CreativeWork">
+  <span itemprop="author">
+    K. A. Smith, J. B. Hamrick, A. N. Sanborn, P. W. Battaglia, T. Gerstenberg, T. D. Ullman, J. B. Tenenbaum</span>
+
+    (2024).
+
+  <a href="https://cicl.stanford.edu/publication/smith2023probabilistic/" itemprop="name">Probabilistic models of physical reasoning</a>.
+  <em>Reverse engineering the mind: The Bayesian approach to cognitive science</em>.
+
+
+
+
+  <p>
+
+
+
+
+
+<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://cicl.stanford.edu/papers/smith2024probabilistic.pdf" target="_blank" rel="noopener">
+  PDF
+</a>
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+<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://mitpress.ublish.com/ebook/bayesian-models-of-cognition-reverse-engineering-the-mind-preview/12799/369" target="_blank" rel="noopener">
+  Link
+</a>
+
+
   </p>
 
 </div>
@@ -2244,45 +2287,6 @@ <h2 id="publications">Publications</h2>
 </a>
 
 
-  </p>
-
-</div>
-<div class="pub-list-item" style="margin-bottom: 1rem" itemscope itemtype="http://schema.org/CreativeWork">
-  <span itemprop="author">
-    K. A. Smith, J. B. Hamrick, A. N. Sanborn, P. W. Battaglia, T. Gerstenberg, T. D. Ullman, J. B. Tenenbaum</span>
-
-    (2023).
-
-  <a href="https://cicl.stanford.edu/publication/smith2023probabilistic/" itemprop="name">Probabilistic models of physical reasoning</a>.
-  <em>Reverse engineering the mind: The Bayesian approach to cognitive science</em>.
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-<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://cicl.stanford.edu/papers/smith2023probabilistic.pdf" target="_blank" rel="noopener">
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diff --git a/static/papers/smith2023probabilistic.pdf → docs/papers/smith2024probabilistic.pdf b/static/papers/smith2023probabilistic.pdf → docs/papers/smith2024probabilistic.pdf
diff --git a/docs/publication/index.html b/docs/publication/index.html
@@ -2909,6 +2909,61 @@ <h1>Publications</h1>
 
 
 
+				<div class='grid-sizer col-md-12 isotope-item pubtype-4 year-2024 author-'>
+
+						<div class="pub-list-item" style="margin-bottom: 1rem" itemscope itemtype="http://schema.org/CreativeWork">
+  <span itemprop="author">
+    K. A. Smith, J. B. Hamrick, A. N. Sanborn, P. W. Battaglia, T. Gerstenberg, T. D. Ullman, J. B. Tenenbaum</span>
+
+    (2024).
+
+  <a href="https://cicl.stanford.edu/publication/smith2023probabilistic/" itemprop="name">Probabilistic models of physical reasoning</a>.
+  <em>Reverse engineering the mind: The Bayesian approach to cognitive science</em>.
+
+
+
+
+  <p>
+
+
+
+
+
+<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://cicl.stanford.edu/papers/smith2024probabilistic.pdf" target="_blank" rel="noopener">
+  PDF
+</a>
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+<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://mitpress.ublish.com/ebook/bayesian-models-of-cognition-reverse-engineering-the-mind-preview/12799/369" target="_blank" rel="noopener">
+  Link
+</a>
+
+
+  </p>
+
+</div>
+
+
+				</div>
+
+
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+
 				<div class='grid-sizer col-md-12 isotope-item pubtype-3 year-2023 author-'>
 
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 </a>
 
 
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-  <span itemprop="author">
-    K. A. Smith, J. B. Hamrick, A. N. Sanborn, P. W. Battaglia, T. Gerstenberg, T. D. Ullman, J. B. Tenenbaum</span>
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-    (2023).
-
-  <a href="https://cicl.stanford.edu/publication/smith2023probabilistic/" itemprop="name">Probabilistic models of physical reasoning</a>.
-  <em>Reverse engineering the mind: The Bayesian approach to cognitive science</em>.
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-<a class="btn btn-outline-primary my-1 mr-1 btn-sm" href="https://cicl.stanford.edu/papers/smith2023probabilistic.pdf" target="_blank" rel="noopener">
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diff --git a/docs/publication/index.xml b/docs/publication/index.xml
@@ -183,6 +183,15 @@
       <description></description>
     </item>
 
+    <item>
+      <title>Probabilistic models of physical reasoning</title>
+      <link>https://cicl.stanford.edu/publication/smith2023probabilistic/</link>
+      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://cicl.stanford.edu/publication/smith2023probabilistic/</guid>
+      <description></description>
+    </item>
+
     <item>
       <title>Anticipating the risks and benefits of counterfactual world simulation models</title>
       <link>https://cicl.stanford.edu/publication/kirfel2023anticipating/</link>
@@ -363,15 +372,6 @@
       <description></description>
     </item>
 
-    <item>
-      <title>Probabilistic models of physical reasoning</title>
-      <link>https://cicl.stanford.edu/publication/smith2023probabilistic/</link>
-      <pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate>
-
-      <guid>https://cicl.stanford.edu/publication/smith2023probabilistic/</guid>
-      <description></description>
-    </item>
-
     <item>
       <title>What would have happened? Counterfactuals, hypotheticals, and causal judgments</title>
       <link>https://cicl.stanford.edu/publication/gerstenberg2022hypothetical/</link>