The aim of the Distributed AI (DAI) 2023 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 Fifth DAI conference will be located in Singapore and have a pure format of offline 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. Besides the accepted paper sessions, we will also have high quality keynotes, workshops, tutorials and industry sessions.

Submission Guidelines

DAI 2023 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 Aug. 25, 2023 Sep. 15, 2023 (23:59 UTC-12). By this time, authors are asked to submit their papers to this easychair entry. The paper notification date is Oct. 10, 2023 (23:59 UTC-12).

List of Topics

The conference solicits papers addressing original research on distributed Artificial Intelligence. Topics of interest include (but are not limited to) the following:

Agent Cooperation:

• Biologically-inspired approaches and methods
• Collective intelligence
• Distributed problem solving
• Teamwork, team formation, teamwork analysis
• Coalition formation (non-strategic)
• Multi-robot systems
• Federated learning
• Distributed learning systems

Humans and Agents:

• Human-robot/agent interaction
• Multi-user/multi-virtual-agent interaction
• Agents competing against humans
• Agent-based analysis of human interactions
• Agents for improving human cooperative activities

Single/Multi-agent Learning:

• Reward structures for learning
• Multi-agent learning
• Reinforcement learning
• Deep learning
• Adversarial machine learning

Computational Game Theory:

• Complexity of algorithms for games
• Practical algorithms for games
• Behavioral models of games
• Security games

Economics and Computation:

• Auctions and mechanism design
• Market design and applications
• Social choice theory
• Game theory for practical applications
• Economics of blockchain systems

Publication

The paper length is limited to 8 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 2023 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 2023, please use the LaTeX or Word.

    - The Latex/overleaf template guideline can be found here: ACM-SIG Proceedings Template

    - The Word template guideline can be found here: ACM Primary Article Template

(you can also use the LaTex template 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 (in-person) the paper at the conference.

Venue

The conference will be held on the campus of Nanyang Technological University (NTU) Singapore.

Contact

All questions about submissions should be emailed to Weinan Zhang (wnzhang [at] sjtu.edu.cn), Pradeep Varakantham (pradeepv [at] smu.edu.sg).