Call for Papers: DAI 2022
The Fourth International Conference on Distributed Artificial Intelligence
Venue: Tianjin, China, and Online

We would like to invite you to submit to the 4th International Distributed AI (DAI) conference. Please view details below or on the DAI website: www.adai.ai

DAI 2022 Website: http://www.adai.ai/dai/2022/2022.html
Submission Link: https://easychair.org/my/conference?conf=dai20220

Important Dates
Paper Submission: Oct 15, 2022 (23:59 UTC-12)
Author Notification: Nov 15, 2022 (23:59 UTC-12)
Conference Date: Dec 15-17, 2022

Invited Speakers
Peter Stone, The University of Texas at Austin
Dacheng Tao, The University of Sydney
Jakob Foerster, University of Oxford
Katja Hofmann, Microsoft Research

Organizers
General Co-Chairs:
Makoto Yokoo (Kyushu University, Japan)
Hong Qiao (Institute of Automation, Chinese Academy of Sciences, China)

Program Co-Chairs:
Yevgeniy Vorobeychik (Washington University in St. Louis, USA)
Jianye Hao (Tianjin University, China)

Overview
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 will 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. Besides the accepted paper sessions, we will also have high-quality workshops, tutorials and industry sessions.

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

Multiagent System (MAS)
-Adversarial agents
-Agent communication
-Agent-based simulation and emergent behavior
-Agent/AI theories and architectures
-Agreement, argumentation & negotiation
-Coordination and collaboration
-Mechanism design
-Modeling other agents
-Multiagent learning
-Multiagent planning
-Multiagent systems under Uncertainty
-Other foundations of multiagent systems

Reinforcement Learning (RL)
-Reinforcement learning algorithms
-Reinforcement learning theory
-Representation reinforcement learning
-Transfer reinforcement learning
-Model-based reinforcement learning
-Offline reinforcement learning
-Evolutionary reinforcement 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

Submission Guidelines
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: http://www.adai.ai/dai/2022/paper/llncs2e.zip

All work must be original, i.e., it must not have appeared in 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.

Publication
Accepted papers will appear in LNCS proceedings and will be widely indexed.

If you have any other questions about DAI 2022, feel free to contact us via email at dai2022_official@163.com