[agents] Last Call for Papers: The 5th International Conference on Distributed Artificial Intelligence (DAI 2023)

[Dengji Zhao]

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 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.
Information for Authors

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 Sep 15, 2023 (23:59 UTC-12). By this time,
authors are asked to submit their paper to:
https://easychair.org/conferences/?conf=dai2023

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
<https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty>

    - The Word template guideline can be found here: ACM Primary Article
Template <https://www.acm.org/publications/proceedings-template>

(you can also use the LaTex template provided at: Download Latex Template
<http://www.adai.ai/dai/2023/paper/DAI_Latex_Template.zip>)

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.
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
   - Robot 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

PoliciesPolicy on Multiple and Previous Submissions

Authors may not submit any paper to DAI 2023 that has already appeared in
an archival forum. Authors must ensure that no submission to DAI 2023 is
under review for another archival forum between the DAI 2023 submission and
decision dates.
Policy on Publication

Accepted papers will appear in ICPS <https://dl.acm.org/icps> proceedings
and will be widely indexed.

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