First International Conference on Distributed Artificial Intelligence
October 13-15, 2019, Beijing, China
Lately, there has been tremendous growth for artificial intelligence and for multiagent systems research in particular. Problems arise where decisions are no longer made by a center but by autonomous and distributed agents. Such decision problems have been recognized as a central research agenda in AI and a fundamental problem in multiagent research. Resolving these problems requires that different scientific communities interact with each other, calling for collaborations and raising further important interdisciplinary questions.
Under this context, the aim of the Distributed Artificial Intelligence (DAI) is bringing together researchers and practitioners in related areas (general AI, multi-agent systems, distributed learning, economics and computation, reinforcement learning, etc) to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. The first conference will be located in Beijing China in October 2019. To maintain the high quality of the conference, we will invite high quality tutorials and invite accepted papers at sister conferences (e.g., AAMAS, AAAI, IJCAI, EC, KDD, ICML, NeurIPS) to present at the conference. We will also invite high quality talks from leading industrial researchers.
DAI 2019 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 paper submission deadline is June 15, 2019 (23:59 UTC-12). By this time, authors are asked to submit their paper to: Openreview 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 OpenReview 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 2019 review process is double blind. Please make sure that the submission does not disclose the author's identities or affiliation.
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.
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.
To prepare your submission to DAI 2019, please use the LaTeX style files provided at: Template link
The conference solicits papers addressing original research on distributed Artificial Intelligence. Topics of interest include (but are not limited to) the following:
Authors may not submit any paper to DAI 2019 that has already appeared in an archival forum. Authors must ensure that no submission to DAI 2019 is under review for another archival forum between the DAI 2019 submission and decision dates.
Accepted papers will appear in ACM Digital Library proceedings and will be widely indexed.
For further details about DAI 2019, please visit the website at www.adai.ai