Call for Papers

We invite submissions that present original work related to information theory and cognitive systems. We aim to bring together researchers from multiple disciplines, including machine learning, cognitive science, neuroscience, linguistics, economics, and potentially other fields, and we particularly encourage submissions of interdisciplinary work. Examples of specific topics of interest include but are not limited to:

• Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.)

• Machine learning tools for scaling up information-theoretic models of cognition

• Applications of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans

• Challenges and limitations of the use of information theory in studying cognitive systems

Format. All papers must be submitted as a single PDF file, limited to a maximum of 4 pages, excluding references and acknowledgements. Submissions must be fully anonymized. We ask that authors follow the NeurIPS 2022 formatting guidelines, while using the workshop’s LaTeX style file. Authors may optionally include supplementary materials as an appendix in the submitted PDF, however the reviewers will not be required to consider it for their assessment.

Submission. Please submit via OpenReview at the following link:
https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/InfoCog

The review process will be double-blind. Authors are responsible for making sure their submissions are fully anonymized. Submissions and reviews will not be made public. Only accepted papers will be posted on the workshop’s website. We particularly encourage submissions from groups that are underrepresented at ML conferences based on factors including gender, sexual orientation, race, ethnicity, nationality, disability, and institution.

Dual-submission policy. We welcome submissions describing either ongoing unpublished work, work that is currently under review, or work that has recently been published at a non-ML venue. We discourage submission of work that will be presented at the main conference or that has previously been published at an ML venue. The workshop is considered a non-archival venue and accepted papers will not be part of any official proceedings.

Presentations. All accepted papers will be presented in a poster session during the workshop. A small number of accepted papers will be selected to be presented as contributed talks or spotlights. The workshop will be hybrid, accommodating both virtual and in-person participants. To facilitate in-person participation, we expect to have a limited amount of funding to support a few selected presenters. More details will follow upon acceptance.

Open Mind Special Issue. A subset of accepted papers will be invited for a full-length article submission to a special issue of Open Mind, dedicated to the topic of this workshop. These invited articles will undergo a regular peer-review process for Open Mind.

Contact information. If you have questions, please contact us at infocog.neurips@gmail.com