[agents] Reminder: DAI-2020 papers due soon

[Matt Taylor]

Call for Papers: DAI 2020

Second International Conference on Distributed Artificial Intelligence

October 24-27, 2020, Nanjing, China


========= Response to the Impact of Novel Coronavirus (COVID-19) =========
We expect that COVID-19 will be well contained globally in October, and
thus the authors are highly encouraged to attend DAI 2020 on-site for
better communications. Meanwhile, DAI 2020 will be fully prepared to
support online presentations and online discussions. We hope that authors
need not worry about conference participation.
==========================================================================

The aim of the Distributed Artificial Intelligence (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 invite 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:
https://easychair.org/conferences/?conf=dai2020

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 Easychair.org 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: http://www.adai.ai/dai/2020/DAI20-ACMTemplate.tex

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
* Applications

Single/Multi-agent Learning:
* Reward structures for learning
* Multi-agent learning
* Reinforcement learning
* Deep learning
* Adversarial machine learning
* Applications

Computational Game Theory:
* Complexity of algorithms for games
* Practical algorithms for games
* Behavioral models of games
* Security games
* Applications

Economics and Computation:
* Auctions and mechanism design
* Market design and applications
* Social choice theory
* Game theory for practical applications
* Economics of blockchain systems
* Applications

## Policies

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
http://www.adai.ai/dai/2020

DAI 2020 Program Chairs
Matthew E. Taylor, University of Alberta
Yang Yu, Nanjing University


---------------------------------------------
Matthew E. Taylor
Associate Professor, Computer Science
University of Alberta
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