[PlanetKR] [CFP] ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications

[tulli]

[Apologies for cross-posting]
ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, 
Methods, and Applications
Rio de Janeiro, Brazil | April 26 or 27, 2026 (Exact date TBD)
Workshop Website [1]

Submission Deadline: February 01, 2026 (AoE, UTC-12)

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.

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:

  	* Explicit modeling of human knowledge and cognitive capabilities.
  	* Introducing explicit human models into the reasoning process.
  	* How AI can model and reason about human mental states and 
intentions.
  	* Combining neural and symbolic methods inspired by human cognition.
  	* Incorporating human causal reasoning patterns into AI systems.
  	* Using human cognitive models to make AI systems more interpretable.
  	* Incorporating human teaching and correction into learning processes.
  	* Structured approaches to human-inspired AI reasoning.
  	* Probabilistic approaches to human-like reasoning.

INVITED SPEAKERS (TENTATIVE)
Rachid Alami [2], LAAS-CNRS, France
Kimberly Lauren Stachenfeld [3], Google DeepMind and Columbia 
University, USA
Joshua B Tenenbaum [4], Massachusetts Institute of Technology, USA
Elmira Yadollahi [5], Lancaster University, UK

WORKSHOP FORMAT
The workshop will feature invited talks, a selected set of contributed 
talks, and discussions. The workshop will be in-person and is scheduled 
for one day. ICLR 2026 will be an in-person event this year, and the 
workshop will follow the same format as the conference.

SUBMISSION INSTRUCTIONS
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.

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.

Two types of papers can be submitted:

  	* full papers with the length of up to 9 pages + references
  	* short papers with the length between 3 and 5 pages + references

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 ICLR 2026 paper format [6]. The papers should 
adhere to the ICLR Code of Ethics [7] and ICLR 2026 policy on using LLMs 
for writing [8] in their paper. Papers can be submitted via OpenReview 
at https://openreview.net/group?id=ICLR.cc/2026/Workshop/HCAIR [9].

IMPORTANT DATES

  	* Paper submission deadline: February 01, 2026 (AoE, 11:59 PM UTC-12)
  	* Author notification: March 01, 2026
  	* Camera-ready deadline: March 10, 2026
  	* Workshop date: April 26 or 27, 2026 (Exact date TBD)

ORGANIZING COMMITTEE
Julie A. Shah [10], Massachusetts Institute of Technology, USA
Sarath Sreedharan [11], Colorado State University, USA
Silvia Tulli [12], Sorbonne University, France
Pulkit Verma [13], Indian Institute of Technology Madras, India

-- 
Silvia Tulli
Institut des Systèmes Intelligents et de Robotique
Pyramide - T55, 4 Pl. Jussieu 65, 75005 Paris
+33 623539830
silviatulli.com

Links:
------
[1] https://hc-air.github.io/hcair26/
[2] https://www.laas.fr/en/homepages/rachid/
[3] https://neurokim.com/
[4] https://cocosci.mit.edu/josh
[5] https://elmirayadollahi.com/
[6] https://github.com/ICLR/Master-Template/raw/master/iclr2026.zip
[7] https://iclr.cc/public/CodeOfEthics
[8] 
https://blog.iclr.cc/2025/08/26/policies-on-large-language-model-usage-at-iclr-2026/
[9] https://openreview.net/group?id=ICLR.cc/2026/Workshop/HCAIR
[10] https://interactive.mit.edu/about/people/julie-shah/
[11] https://sarathsreedharan.com/
[12] https://silviatulli.com/
[13] https://pulkitverma.net/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://kr.org/pipermail/planetkr/attachments/20260111/47bfc97c/attachment.htm>