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DAI 2020 : Second International Conference on Distributed Artificial Intelligence


When Oct 24, 2020 - Oct 27, 2020
Where Nanjing, China
Submission Deadline May 15, 2020
Notification Due Jun 30, 2020
Categories    distributed problem solving   agents   computational game theory   economics of blockchain

Call For Papers

Call for Papers: DAI 2020

Second International Conference on Distributed Artificial Intelligence

October 24-27, 2020, Nanjing, China

The aim of the Distributed AI (DAI) is bringing together researchers and practitioners in related areas (e.g., general AI, multi-agent systems, distributed learning, computational game theory) to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. The 2nd DAI conference will be located in Nanjing, China in October 2020. To maintain the high quality of the conference, we will invite high quality tutorials and invite accepted papers from sister conferences (e.g., AAMAS, AAAI, IJCAI, EC, KDD, ICLR, ICML, NeurIPS) to present at the conference. We will also invited high quality talks from industry.
Information for Authors

DAI 2020 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 May 15, 2020 (23:59 UTC-12). By this time, authors are asked to submit their paper to: Easychair link

The initial paper needs to be submitted by this date; however, authors are encouraged to update their submission as desired after the review period. Please note that submitting an abstract is required before submitting a full paper.

To submit a paper, please first create an account, login to your account and go to the submission page to submit your paper.

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.

The DAI 2020 review process is DOUBLE BLIND. Please make sure that the submission does not disclose the authors' identities or affiliations.

Please include any supplementary material after the main paper in the same PDF. Please note that the reviewers are not required to read this extra material when assessing the paper.

To prepare your submission to DAI 2020, 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 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

Policy on multiple and previous submissions

Authors may not submit any paper to DAI 2020 that has already appeared in an archival forum. Authors must ensure that no submission to DAI 2020 is under review for another archival forum between the DAI 2020 submission and decision dates.

Accepted papers will appear in ACM Digital Library proceedings and will be widely indexed.

For further details about DAI 2020, please visit the website at

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