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<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">[Apologies for cross-posting]</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;"><br /></span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;">ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;"><br /></span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Rio de Janeiro, Brazil | April 26 or 27, 2026 (Exact date TBD)</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;"><br /></span><a style="color: #1155cc;" href="https://hc-air.github.io/hcair26/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://hc-air.github.io/hcair26/&source=gmail&ust=1768238457824000&usg=AOvVaw07dE3jpecKqv83iP7hKE22"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Workshop Website</span></a></p>
<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;"><br /></span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Submission Deadline:</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;"><span> </span>February 01, 2026 (AoE, UTC-12)</span></p>
<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">The objective of this workshop is to bridge the gap between human cognitive science and artificial intelligence by bringing together researchers working on computational models of human cognition, neurosymbolic AI, human-AI interaction, and cognitively-inspired machine learning. Recent advances in AI have demonstrated remarkable capabilities, yet these systems often lack the interpretability, causal reasoning, and generalization abilities that characterize human intelligence. Meanwhile, cognitive science has made significant progress in understanding human reasoning, learning, and decision-making processes. We believe that incorporating insights from human cognition into AI systems can lead to more robust, interpretable, and human-aligned artificial intelligence. This workshop aims to facilitate cross-pollination of ideas between cognitive scientists, neuroscientists, and AI researchers to develop the next generation of AI systems that can reason more like humans while maintaining computational efficiency.</span></p>
<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">The workshop will focus on research related to all aspects of human cognition and AI reasoning. This topic features technical problems that are of interest across multiple fields, including cognitive science, machine learning, AI planning, human-robot interaction, and neurosymbolic AI. We welcome submissions that address formal as well as empirical issues on topics such as:</span></p>
<ul>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Explicit modeling of human knowledge and cognitive capabilities.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Introducing explicit human models into the reasoning process.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">How AI can model and reason about human mental states and intentions.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Combining neural and symbolic methods inspired by human cognition.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Incorporating human causal reasoning patterns into AI systems.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Using human cognitive models to make AI systems more interpretable.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Incorporating human teaching and correction into learning processes.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Structured approaches to human-inspired AI reasoning.</span></li>
<li dir="ltr" role="presentation"><span style="font-size: 11pt; background-color: transparent; font-family: arial, helvetica, sans-serif;">Probabilistic approaches to human-like reasoning.</span></li>
</ul>
<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;">INVITED SPEAKERS (TENTATIVE)<br /></span><span style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"><span style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"></span></span><a style="color: #1155cc;" href="https://www.laas.fr/en/homepages/rachid/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://www.laas.fr/en/homepages/rachid/&source=gmail&ust=1768238457824000&usg=AOvVaw07opYRLDtrEmEpiGMV_ILc"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Rachid Alami</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, LAAS-CNRS, France<br /></span><a style="color: #1155cc;" href="https://neurokim.com/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://neurokim.com/&source=gmail&ust=1768238457824000&usg=AOvVaw1sDwYXun8eSHX5q3yd6cNi"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Kimberly Lauren Stachenfeld</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Google DeepMind and Columbia University, USA</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;"><br /></span><a style="color: #1155cc;" href="https://cocosci.mit.edu/josh" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://cocosci.mit.edu/josh&source=gmail&ust=1768238457824000&usg=AOvVaw2g-m7mzu-ojoCmHb9FKQuq"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Joshua B Tenenbaum</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Massachusetts Institute of Technology, USA</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;"><br /></span><a style="color: #1155cc;" href="https://elmirayadollahi.com/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://elmirayadollahi.com/&source=gmail&ust=1768238457824000&usg=AOvVaw206dqzmfGbI7MrFD-nIfZi"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Elmira Yadollahi</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Lancaster University, UK</span></p>
<p><span style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"><span style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"> </span></span></p>
<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;">WORKSHOP FORMAT<br /></span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">The workshop will feature invited talks, a selected set of contributed talks, and discussions. The workshop will be in-person and is scheduled for</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;"><span> </span>one day</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">. ICLR 2026 will be an in-person event this year, and the workshop will follow the same format as the conference.</span></p>
<p dir="ltr"> </p>
<p dir="ltr"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;">SUBMISSION INSTRUCTIONS<br /></span><span style="color: #000000; font-family: Arial, sans-serif; font-size: 11pt;">Submissions can describe either work in progress or mature work that would be of interest to researchers working on one or more of the topics mentioned above. We also welcome “highlights” papers summarizing and highlighting results from multiple recent papers by the authors, and "blue sky" papers that propose new ideas and directions for future research. Please note that the submitted work must not have previously appeared at any machine learning venue, including the main ICLR conference track.</span></p>
<p><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Submissions of papers being reviewed at other venues (IJCAI, ICML, ICAPS, ACL, UAI, etc.) are welcome since HCAIR is a non-archival venue and we will not require a transfer of copyright. If such papers are currently under blind review, please anonymize the submission.</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;"><br /></span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;"><br /></span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Two types of papers can be submitted: </span></p>
<ul>
<li><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">full papers with the length of up to 9 pages + references</span></li>
<li><span style="color: #000000; font-size: 14.6667px; font-family: Arial, sans-serif; background-color: transparent;">short papers with the length between 3 and 5 pages + references</span></li>
</ul>
<p><span id="m_-8853745690355151531gmail-docs-internal-guid-55b6b6ec-7fff-ee9e-434b-ef56080482bb" style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"><span style="font-size: 11pt; background-color: transparent;">Submissions may use as many pages of appendices (after the references) as they wish, but the reviewers are not required to read the appendix. Submissions should use the<span> </span></span><a style="color: #1155cc; font-size: 11pt; background-color: transparent;" href="https://github.com/ICLR/Master-Template/raw/master/iclr2026.zip" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://github.com/ICLR/Master-Template/raw/master/iclr2026.zip&source=gmail&ust=1768238457824000&usg=AOvVaw2CGkOUzfcyCpTZx-PhGVzu"><span style="color: #0086e6; font-size: 11pt; background-color: transparent;">ICLR 2026 paper format</span></a><span style="font-size: 11pt; background-color: transparent;">. The papers should adhere to the<span> </span></span><a style="color: #1155cc; font-size: 11pt; background-color: transparent;" href="https://iclr.cc/public/CodeOfEthics" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://iclr.cc/public/CodeOfEthics&source=gmail&ust=1768238457824000&usg=AOvVaw2F1opZtlrvXzp7EKEP2I2P"><span style="color: #0086e6; font-size: 11pt; background-color: transparent;">ICLR Code of Ethics</span></a><span style="font-size: 11pt; background-color: transparent;"><span> </span>and<span> </span></span><a style="color: #1155cc; font-size: 11pt; background-color: transparent;" href="https://blog.iclr.cc/2025/08/26/policies-on-large-language-model-usage-at-iclr-2026/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://blog.iclr.cc/2025/08/26/policies-on-large-language-model-usage-at-iclr-2026/&source=gmail&ust=1768238457824000&usg=AOvVaw2_vnMWl80AHsjjACSLIWrU"><span style="color: #0086e6; font-size: 11pt; background-color: transparent;">ICLR 2026 policy on using LLMs for writing</span></a><span style="font-size: 11pt; background-color: transparent;"><span> </span>in their paper. Papers can be submitted via OpenReview at<span> </span></span><a style="color: #1155cc; font-size: 11pt; background-color: transparent;" href="https://openreview.net/group?id=ICLR.cc/2026/Workshop/HCAIR" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://openreview.net/group?id%3DICLR.cc/2026/Workshop/HCAIR&source=gmail&ust=1768238457824000&usg=AOvVaw1tPhE2Ghklj7JkBFGm9iRy"><span style="color: #0086e6; font-size: 11pt; background-color: transparent;">https://openreview.net/group?<wbr />id=ICLR.cc/2026/Workshop/HCAIR</span></a><span style="font-size: 11pt; background-color: transparent;"><wbr />.</span></span></p>
<p dir="ltr" style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;">IMPORTANT DATES</span></p>
<ul>
<li dir="ltr" role="presentation"><span style="font-family: arial, helvetica, sans-serif;"><span style="font-size: 11pt; background-color: transparent;">Paper submission deadline: </span><span style="font-size: 11pt; font-weight: bold; background-color: transparent;">February 01, 2026 </span><span style="font-size: 11pt; background-color: transparent;">(AoE, 11:59 PM UTC-12)</span></span></li>
<li dir="ltr" role="presentation"><span style="font-family: arial, helvetica, sans-serif;"><span style="font-size: 11pt; background-color: transparent;">Author notification: </span><span style="font-size: 11pt; font-weight: bold; background-color: transparent;">March 01, 2026</span></span></li>
<li dir="ltr" role="presentation"><span style="font-family: arial, helvetica, sans-serif;"><span style="font-size: 11pt; background-color: transparent;">Camera-ready deadline:</span><span style="font-size: 11pt; font-weight: bold; background-color: transparent;"> March 10, 2026</span></span></li>
<li dir="ltr" role="presentation"><span style="font-family: arial, helvetica, sans-serif;"><span style="font-size: 11pt; background-color: transparent;">Workshop date: </span><span style="font-size: 11pt; font-weight: bold; background-color: transparent;">April 26 or 27, 2026</span><span style="font-size: 11pt; background-color: transparent;"> (Exact date TBD) </span></span></li>
</ul>
<p><br /></p>
<p dir="ltr" style="color: #222222; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;"><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;">ORGANIZING COMMITTEE<br /></span><a style="color: #1155cc;" href="https://interactive.mit.edu/about/people/julie-shah/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://interactive.mit.edu/about/people/julie-shah/&source=gmail&ust=1768238457824000&usg=AOvVaw0vhREyJ8qTrB9eJ6C_HXHR"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Julie A. Shah</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Massachusetts Institute of Technology, USA<br /></span><a style="color: #1155cc;" href="https://sarathsreedharan.com/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://sarathsreedharan.com/&source=gmail&ust=1768238457824000&usg=AOvVaw0_HVNn0AWnU9TXL0enOA7E"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Sarath Sreedharan</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Colorado State University, USA<br /></span><a style="color: #1155cc; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;" href="https://silviatulli.com/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://silviatulli.com/&source=gmail&ust=1768238457824000&usg=AOvVaw3QexHVFwJABkVYCFqPx9Br"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Silvia Tulli</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Sorbonne University, France</span><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; font-weight: bold; background-color: transparent;"><br /></span><a style="color: #1155cc; font-size: small; font-family: Arial, Helvetica, sans-serif; background-color: #ffffff;" href="https://pulkitverma.net/" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://pulkitverma.net/&source=gmail&ust=1768238457824000&usg=AOvVaw2NoH_5Db49BxkTtucOZD4C"><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">Pulkit Verma</span></a><span style="color: #000000; font-size: 11pt; font-family: Arial, sans-serif; background-color: transparent;">, Indian Institute of Technology Madras, India</span></p>
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<div class="pre" style="margin: 0; padding: 0; font-family: monospace">Silvia Tulli<br />Institut des Systèmes Intelligents et de Robotique<br />Pyramide - T55, 4 Pl. Jussieu 65, 75005 Paris<br />+33 623539830<br />silviatulli.com</div>
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