The Third International Conference on Distributed Artificial Intelligence
The aim of the Distributed AI (DAI) seeks to bring together researchers and practitioners in related areas (e.g., general AI, multi-agent systems, distributed learning, computational game theory) to provide a high-profile, internationally renowned forum for research in the theory and practice of distributed AI. The 3rd DAI conference will be located in Shanghai, China and have a hybrid format to allow virtual and in-person participation. Except for regular paper submissions, we will also invite some accepted papers from sister conferences (e.g., AAMAS, AAAI, IJCAI, EC, KDD, ICLR, ICML, NeurIPS) to present at the conference. Beside the accepted paper sessions, we will also have high quality workshops, tutorials and industry sessions.
DAI 2021 encourages the submission of theoretical, empirical, and perspective papers. Submitted papers should make clear the significance and relevance of their results to the scope and agenda of the DAI conference. Each paper should have a thorough evaluation, either theoretical or empirical, that advances the current understanding of distributed AI. Each paper should also pay attention to discussing how their work relates to the current AI literature. All submissions will be rigorously peer reviewed and evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art.
The submission deadline is
Sep 20, 2021 Sep 30, 2021 (23:59 UTC-12). By this time, authors are asked to submit their
paper to: Easychair Link
The paper length is limited to 12 pages (excluding references). Authors may use as many pages of appendices (after the bibliography) as they wish, but reviewers are not required to read these. Any supplementary material should be included after the main paper in the same PDF file. Please note that the reviewers are not required to read this extra material when assessing the paper. The DAI 2021 review process is DOUBLE BLIND. Please make sure that the submission does not disclose the authors' identities or affiliations.
To prepare your submission to DAI 2021, please use the LaTeX style files provided at : Download Latex Template
All work must be original, i.e., it must not have appeared in a conference proceedings, book, or journal and may not be under review for another archival conference. At least one of the authors of each paper is required to register, attend, and present (virtually or in-person) the paper at the conference.
The conference solicits papers addressing original research on distributed Artificial Intelligence. Topics of interest include (but are not limited to) the following:
Authors may not submit any paper to DAI 2021 that has already appeared in an archival forum. Authors must ensure that no submission to DAI 2021 is under review for another archival forum between the DAI 2021 submission and decision dates.
Accepted papers will appear in LNCS proceedings and will be widely indexed.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
If you have any other questions about DAI 2021, feel free to contact us via email email@example.com