Scope

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 4th DAI conference will be located in Tianjin, 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.

Information for Authors

DAI 2022 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 Oct 5, 2022 (23:59 UTC-12). By this time, authors are asked to submit their paper to: 

Submission 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 2022 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 2022, 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.

Topics of Interest

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