Submission Instruction

Important Dates:

  • Abstract submission: 2 Oct 2023
  • Paper submission: 9 Oct 2023
  • Rebuttal period: 30 Nov – 4 Dec 2023
  • Author notification: 20 Dec 2023
  • Camera-ready paper: 8 Feb 2024
  • Conference: 6-10 May 2024

All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

Papers should be written in English, be prepared for double-blind reviewing, be submitted as a PDF document, and conform to our formatting guidelines:

Papers submitted to the main track must be at most 8 pages long, with any number of additional pages containing bibliographic references and ethics statement only. Excessive use of typesetting tricks to make everything fit into 8 pages is not admissible. Please do not modify the style files or any of the layout parameters. The use of LaTeX is mandatory.

Please note that registering an abstract of your paper (of around 100-300 words in plain text) is required one week before the paper submission deadline and you will be asked to provide some additional information (such as keywords characterising your paper) at this time. We recommend not to wait with submission until the very last moment. Note that you can resubmit your paper any number of times until the submission deadline. Please register your abstract and submit your paper here:

If the principal author of your paper is a (doctoral or other kind of) student, then please register your paper as a student paper. This information will not be shared with reviewers and is used only to determine eligibility for the Pragnesh Jay Modi Best Student Paper Award.

Supplementary Material

You have the option to accompany your submission with supplementary material. We encourage providing supplementary material containing, e.g., missing or more comprehensive versions of your proofs, detailed information about conducted experiments, or anything else that may be helpful in making your results reproducible. This might also be code or a dataset (up to 25MB). Contact the programme chairs if you need more than 25MB and we will try to help. Do not use supplementary material to submit an extended or corrected version of your paper: the reviewers will review the submitted version of your paper and consult supplementary material at their discretion. Any information that is essential for understanding or evaluating your paper must be included in the paper itself. For example, it is not acceptable to relegate most of the proofs of your theoretical results to the supplementary material. You must ensure that your supplementary material does not compromise the anonymity of your submission.

IFAAMAS will not publish your supplementary material. Nevertheless, if your paper gets accepted, then the readers of your published paper should have access to the same information as the reviewers of your submission. This entails that you should make your (suitably revised) supplementary material openly available in archival form at the time of publication of your paper, and that you should include a reference to the supplementary material in the camera-ready version of your paper. For code or data you may wish to use a service such as Zenodo. For a technical appendix with additional proof details or similar, you may wish to use an archival preprint server such as arXiv.

Topics for Areas

We welcome the submission of technical papers describing significant and original research on all aspects of the theory and practice of autonomous agents and multiagent systems. If you are new to this community, then we encourage you to consult the proceedings of previous editions of the conference to fully appreciate the scope of AAMAS. At the time of submission, you will be asked to associate your paper with one of the following 11 areas of interest:

  • Coordination, Organisations, Institutions, Norms and Ethics
  • Engineering Multiagent Systems
  • Humans and AI / Human-Agent Interaction
  • Innovative Applications, in particular addressing the Sustainable Development Goals
  • Knowledge Representation, Reasoning, and Planning
  • Learning and Adaptation
  • Markets, Auctions, and Non-Cooperative Game Theory
  • Modelling and Simulation of Societies
  • (Multiagent) Reinforcement Learning
  • Robotics
  • Social Choice and Cooperative Game Theory

In addition, AAMAS 2024 also includes the special tracks.

More information on these areas and the topics covered can be found in Call for Papers.


All papers accepted at AAMAS 2024 will be published by the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) and be openly available to everyone from the IFAAMAS website. The papers will be published under CC-BY license which allows the authors to upload their papers to any repository. To maximise the reach of AAMAS-2023 papers, they will also be included in the ACM Digital Library.

Papers submitted to the main track will be accepted either as full papers (8 pages plus references) or as extended abstracts (2 pages plus references). You will be able to indicate at the time of submission whether you would accept the offer to publish your work as an extended abstract. This information will be visible to the programme chairs and area chairs only.

Authors of a number of the papers accepted to AAMAS with excellent reviews will be invited to submit extended versions of those papers to selected journals (e.g., the Journal of Autonomous Agents and Multiagent Systems (JAAMAS)) for fast-track review.


Ethics policy

Use of Generative AI: Papers that include content generated using Generative AI models, including large-scale language models (LLM) such as ChatGPT are prohibited unless the produced content is presented as a part of the paper’s experiments, in which case, use of GenAI must be explicitly reported in the paper’s introduction. Note that this policy does not prohibit authors from using LLMs for editing or polishing author-written text.

GenAI authorship: AAMAS 2024 policy is that AI systems, including Generative Models such as (Chat)GPT, BARD, or DALL-E, are not admissible as authors of any paper published in AAMAS and, moreover can also not be used as a citable source in papers published in the AAMAS proceedings.

Plagiarism: Authors assume full responsibility for content, including checking for plagiarism and veracity of all text.

Societal Impact: As AI and autonomous systems technology continues to advance, it is becoming increasingly important to consider the broader implications of our work beyond just technical innovation. AAMAS 2024 therefore encourages you to carefully consider the potential impact of your research on society, and to describe any ethical, societal, or legal concerns that may arise. We encourage submissions to AAMAS 2024 to include a short sentence reflecting on potential risks and benefits of your application, techniques, methods or theories, the potential impact on users, including those from vulnerable populations, or examining how your work aligns with legal and regulatory frameworks. By taking the time to reflect on these important issues, you can ensure that your research contributes to a responsible and sustainable development of AI that benefits society as a whole.
Including such a section, of at most 250 words, is voluntary and does not count to the paper page limit.

Submission of Previously Published Work

IFAAMAS publishes original research. Therefore, you may not submit papers (to the main track) that have substantial overlap in contribution or text with work previously accepted for publication as a full paper in another archival forum. This includes full papers at workshops with archival proceedings, but not, for instance, two-page extended abstracts published at previous editions of AAMAS.

Submission of Work Presented at Workshops or Available at Public Repositories

Submitting a paper that has previously been presented at an informal workshop or that is available from a public preprint server (such as arXiv) is admissible. In that case, please do not cite that earlier version of your work in the paper itself but instead enter this information in the relevant text box in the submission system. This information will be visible to the programme chairs and area chairs only. Finally, we ask you to not actively promote your paper to a global audience during the reviewing period or the four weeks preceding the abstract submission deadline (e.g., by uploading it to a public preprint server or by presenting it at an international event).

Submission of Previously Rejected Papers

Papers that were previously rejected from other venues (and are eligible for submission otherwise) can be freely submitted to AAMAS and will be treated in the same way as all the other submissions.

Resubmission During AAMAS Reviewing Process

We recognise the significant strain on the scientific community caused by the needs of peer review. Therefore, the work you submit to AAMAS must not be under review elsewhere at any time between submission and notification.

Anonymity and Double-Blind Reviewing

Reviewing for AAMAS is double-blind. This means that reviewers should not be aware of the identity of the authors of the papers they review. As an author you must make a reasonable effort to ensure that this is possible. Specifically, please replace your name and affiliation on the first page with the paper tracking number and do not include any acknowledgements in your submission. Cite your own prior work where appropriate, but do so in the third rather than the first person (that is, write, for instance, “X et al. [42] showed …” rather than “We showed … [42]”).

We recognise that for certain papers describing deployed applications it may be impossible to guarantee the anonymity of the submission while also providing reviewers with sufficient information to evaluate your contribution. In such cases we ask you to maintain anonymity as much as is feasible and to use the submission form to (a) confirm that the main contribution of your work concerns a deployed application (rather than, say, an idea for a possible future application) and to (b) explain why full anonymity was not an option.


All individuals—and only those—who have made significant contributions to a paper submitted to AAMAS should be listed as authors in the submission system. We will not permit adding or removing authors to a paper after the submission deadline. Only mistakes regarding the ordering of authors can still be corrected after the notification date.

Altering Abstracts and “Placeholder Abstracts”

The abstracts submitted ahead of the main paper submission deadline are central for the assignment of reviewers to papers. For this reason, abstracts should not be altered in any significant way after the abstract submission deadline. Please note that this entails that submitting “placeholder abstracts” is not admissible.

Pointers to Supplementary Material

Papers must not include pointers to supplementary material on the web, not even when that supplementary material has been fully anonymised. The reason for this policy is that we would be unable to ensure that this material will remain unaltered throughout the reviewing period. All supplementary material must be provided through the AAMAS submission system. Supplementary material should respect the same anonymity policies as the submitted paper.

General Policies

Submissions that are in violation of any of the above policies are subject to rejection without peer review at the discretion of the programme chairs and area chairs.

Submissions to AAMAS are confidential. However, submissions, author information, and reviews may be shared with the organisers of other AI conferences to identify duplicate submissions and to limit duplicate reviewing efforts. By submitting to AAMAS 2024, you agree for relevant data regarding your submission to be shared in this manner.

At least one author of each accepted paper will be required to register for the conference by the early registration deadline with the intention of presenting the paper at the conference. This is a prerequisite for your paper being included in the conference proceedings. Remote presentation of accepted papers will only be considered in exceptional circumstances and on individual basis.