[agents] Call for Papers/Workshops/Tutorials: Third International Conference on Distributed Artificial Intelligence (DAI 2021)

[Ying Wen]

Call for Papers: DAI 2021
Third International Conference on Distributed Artificial Intelligence

Shanghai, China

 

Dear Subscriber,

 

We would like to invite you to submit to the 3rd International Distributed AI (DAI) conference. Please view details below or on the DAI website: www.adai.ai.

 

DAI 2021 Website: http://www.adai.ai/dai/2021/2021.html 

Submission Link: https://easychair.org/conferences/?conf=dai2021 

 

Important Dates

     Paper Submission: Sep 20, 2021 (23:59 UTC-12)

     Author Notification: Oct 31, 2021 (23:59 UTC-12)

     Conference Date: Dec 16-18, 2021

 

Invited Speakers

     Craig Boutilier, Google

     Bart Selman, Cornell University

     Julie Shah, MIT

 

Organizers

     Jérôme Lang, General Co-Chair, Université Paris-Dauphine

     Jie Chen, General Co-Chair, Tongji University

     Christopher Amato, Program Co-Chair, Northeastern University

     Dengji Zhao, Program Co-Chair, ShanghaiTech University
 
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 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.

 
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

 
Submission Guidelines
The paper length is limited to 6 pages, with 1 additional page containing only bibliographic 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.

 
Publication
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 dai2021 at easychair.org

 

 
Call for Workshops and Tutorials Proposals: DAI 2021
Call for Workshops

We invite proposals for workshops to be held in 2021 in Shanghai (China), under the main conference of DAI 2021. The aim of the workshop program is to provide a structured setting for the discussion of specialized technical topics, and the format of proposed workshops should be designed to promote an active exchange of ideas between attendees.

All members of the AI community are invited to submit workshop proposals for review. We encourage several forms of workshops:

·         classical workshops that focus on a particular research area, including proposals for continuations of workshops that were held at previous general AI conferences (e.g., IJCAI, AAAI, ECAI) or discipline specific conferences (e.g., NIPS, KR, AAMAS, UAI, ICAPS...).

·         workshops that focus on emerging topics and applications, or on open research questions and challenges.

·         cross-discipline workshops that foster exchange of ideas between groups that are unaware of each other's research.

·         miscellaneous topics of interest to the AI community.

Workshops can vary in length from half a day to one full day. To cover costs, workshop participants are required to register in the main conference. The workshop can consist of sessions of invited presentations on accepted papers from recent top conferences (e.g., AAMAS, AAAI, IJCAI, KDD, ICML, NeurIPS), or invited talks from renowned researchers world-wide. The ultimate goal is to bring together diverse viewpoints in the AI area in an attempt to consolidate the common ground, identify new research directions, and promote the rapid advance of AI research community.

Call for Tutorials

The DAI 2021 Organizing Committee invites proposals for the Tutorial Program to be held on 16th Dec 2021. DAI 2020 Tutorials should serve one or more of the following objectives:

·         Introduce novices to major topics of DAI research.

·         Survey a mature area of DAI research or practice.

·         Survey an area of DAI research especially relevant for people from industry.

·         Motivate and explain a DAI topic of emerging importance.

·         Introduce DAI audiences to an external topic that can motivate or use DAI.

·         Introduce expert non-specialists to a DAI area.

 

Topic areas of interest are listed in the call for paper (see http://www.adai.ai/dai/2021/call-for-papers.html). Tutorials will be half-day long. 

 

The deadline for submission is Aug 31, 2021 (23:59 UTC-12) and the notification date is Sep 15, 2021.

Please contact the workshop/tutorial chairs for any potential proposals:

·         Noa Agmon, Bar-Ilan University, Israel: agmon at cs.biu.ac.il

·         Fan Wu, Shanghai Jiao Tong University, China: fwu at cs.sjtu.edu.cn

 

 

 

 

 

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