[fg-arc] Final CFP: IJCAI 2021 survey track

Toby Walsh t.walsh at unsw.edu.au
Mon Feb 22 11:58:06 CET 2021 

The IJCAI 2021 Survey Track enables the AI community to learn from AI researchers who are experts on a topic by providing them with the opportunity to give a talk presenting a synthetic survey of that topic. Papers accepted to the Survey Track will be published in the IJCAI 2021 proceedings. At least one author of each accepted paper is required to attend the conference to present the work. We are looking forward to the AI community meeting in person. At the same time, we are also planning for the possibility that the global public health situation might require us to run the conference as a partly or fully virtual event.

Who can Submit a Paper?

The list of authors should contain at least one author who has made significant contributions to the topic over the last few years (and can thus be considered an expert on that topic).

What is a Suitable Topic?

The IJCAI 2021 Survey Track provides an opportunity for established researchers in the AI community to give a broad talk on a well-established body of research, that provide a big picture view of the topic, rather than discuss a particular aspect. The topic should be of interest to current AI practitioners. Of particular interest are papers that describe how lessons learned from the topic can contribute to new ideas and visions that can stimulate the research community to pursue new directions, e.g., new problems.

How Should the Paper be Written?

The topic should be introduced in a way such that it can be understood by most of the AI community. It should be defined in such a way that its contours are precise. It should be made clear why the topic is important and what its intended or existing applications are. The paper should be a comprehensive survey with a personal stance on the topic: the description of the existing work should be structured and should contain a discussion (aiming for instance at comparing the approaches). It should not be a simple juxtaposition of summaries of papers or groups of papers. While the authors’ own work can sometimes be an important part of a survey, there should be no significant bias towards it: the work by others should be mentioned and appreciated in accordance with its relevance and importance. The paper should try to provide clear perspectives, and should be of very high quality in terms of presentation (including examples), and at the appropriate technical level,and should soundly grounded on existing literature.

Important Dates

  *   Paper submission:February 26, 2021 (Anywhere on Earth – 11:59PM UTC -12)
  *   Notification of acceptance/rejection: April 20, 2021
  *   Camera ready deadline: April 30, 2021

Submission Details

Template: https://www.ijcai.org/authors_kit
Submission site: https://cmt3.research.microsoft.com/IJCAI21Survey2021

Unlike submissions to the main track, submissions to the survey track are not anonymous. They should include the names and affiliations of the authors. Submitted papers must be formatted according to IJCAI guidelines and submitted electronically through the IJCAI 2021 special track paper submission site. Full instructions including formatting guidelines and electronic templates are available on the IJCAI 2021 website. Submissions must be in electronic form using the IJCAI 2021 paper submission software linked above. Submissions must be self-contained; IJCAI 2021 will not accept or review any supplementary material. All papers are due electronically on February 26, 2021 (11:59 UTC- 12). Submissions received after the deadline or not in compliance with the length or formatting requirements will not be considered for review (see the paper length and format section below). No email or fax submissions will be accepted. Notification of receipt of an electronically submitted paper will be emailed to the designated contact author soon after receipt. The designated author will be notified by email about acceptance or rejection by April 20.

Policy on Multiple Submissions

IJCAI 2021 will not accept any paper that, at the time of submission, is under review for, has already been published in, or has already been accepted for publication in, a journal or another venue with formally published proceedings. As a rule of thumb, authors should regard any publication with an ISBN or ISSN as a formal publication. Authors are also required not to submit their papers to venues with formal publication during IJCAI 2021 review period. These restrictions are not intended to apply to workshops and similar specialized presentations with a limited audience and without published proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. A multiple submission will imply immediate rejection of the submitted paper.

Confidentiality Policy

All submissions will be treated in strict confidence until the publication date.

Conflict of Interest Policy

All people involved in the IJCAI 2021 review process adhere to the IJCAI conflict of interest policy. Details can be found at http://ijcai.org/.

Paper Length And Format

Submitted technical papers must be no longer than eight (8) pages in total: six pages for the main text of the paper (including all figures but excluding references), and up to two additional pages for references. Note that the references pages can only include references. For accepted papers, up to two additional pages may be purchased at an additional cost per page, but note that at the time of submissions, papers should adhere to the guidelines above: six pages for main text plus two pages for references. Papers must be formatted according to posted IJCAI 2021 guidelines, which will be available on the conference website (the style will be essentially that of previous IJCAI conferences). Electronic templates for the LaTeX typesetting package, as well as a Word template, that conform to IJCAI 2021 guidelines will be made available at the conference website. Final camera ready versions will be formatted according to the publisher’s instructions. Authors are required to submit their electronic papers in PDF format. Files in postscript (ps) or any other format will not be accepted. Over-length papers will be rejected without review. Submissions must be self-contained; IJCAI 2021 will not accept or review any supplementary material.

Submission Restrictions

The main track of IJCAI 2021 is enforcing a submission limit for individual authors. However, papers submitted to the survey track do not count for this number of submissions. The list of authors provided at submission time is final. Authors may not be added to, or removed from, papers following submission. (However, author ordering may still be changed.) Also, by submitting a paper to IJCAI 2021, authors must acknowledge that they will do their best to contribute in some way to the review process, if asked to.

Enquiries

Please send all enquiries about the Survey Track to the IJCAI 2021 Survey Track Chairs, Masashi Sugiyama, sugi at k.u-tokyo.ac.jp Toby Walsh, tw at cse.unsw.edu.au


----
Prof. Toby Walsh FAA
Laureate Fellow & Scientia Professor of AI
School of CSE, UNSW Sydney | CSIRO Data61
e: tw at cse.unsw.edu.au
m: +61 424 325 167


________________________________
From: comsoc-request at duke.edu <comsoc-request at duke.edu> on behalf of Gauthier Picard <gauthier.picard at onera.fr>
Sent: 04 February 2021 18:13
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Subject: CFP [OptLearnMAS 2021] The 12th International Workshop on Optimization and Learning in Multi-Agent Systems


[Apologies for cross-posting. Please share with anyone may be interested]

The 12th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS'21)

To be held in conjunction with the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Online, from May 3-7, 2021.

=======================================================

This workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization and learning problems or problems that can be effectively solved by adopting a multi-agent framework. The workshop is of interest both to researchers investigating applications of multi-agent systems to optimization problems in large, complex domains, as well as to those examining optimization and learning problems that arise in systems comprised of many autonomous agents. In so doing, this workshop aims to provide a forum for researchers to discuss common issues that arise in solving optimization and learning problems in different areas, to introduce new application domains for multi-agent optimization techniques, and to elaborate common benchmarks to test solutions.

OptMAS 2021 website: https://optlearnmas21.github.io/<https://urldefense.com/v3/__https://optlearnmas21.github.io/__;!!OToaGQ!6plX_6BHIHbi9ln1IlUJRxbYMctLvmYpj8MDQP0DNe-4ltBYD6dNwMOWjhsjDq4$>

Workshop submission site: https://easychair.org/conferences/?conf=optlearnmas21<https://urldefense.com/v3/__https://easychair.org/conferences/?conf=optlearnmas21__;!!OToaGQ!6plX_6BHIHbi9ln1IlUJRxbYMctLvmYpj8MDQP0DNe-4ltBYD6dNwMOWqrZKuhs$>


Important dates
---------------

* March 3, 2021 – Submission Deadline
* April 3, 2021 – Acceptance notification
* April 30,2021 – AAMAS/IJCAI Fast Track Submission Deadline
* May 1, 2021 – AAMAS/IJCAI Fast Track Acceptance Notification
* May 3 or 4, 2021 – Workshop Date



Background
----------

Stimulated by emerging applications, such as those powered by the Internet of the Things, critical infrastructure network, and security games, intelligent agents commonly leverage different forms optimization and/or learning to solve complex problems. The goal of the workshop is to provide researchers with a venue to discuss techniques for tackling a variety of multi-agent optimization problems. We seek contributions in the general area of multi-agent optimization, including distributed optimization, coalition formation, optimization under uncertainty, winner determination algorithms in auctions, and algorithms to compute Nash and other equilibria in games. This year, the workshop will have a special focus on contributions at the intersection of optimization and learning. For example, agents which use optimization often employ machine learning to predict unknown parameters appearing in their decision problem. Or, machine learning techniques may be used to improve the efficiency of optimization. While submissions across the spectrum of multi-agent optimization are welcome, contributions at the intersection with learning are especially encouraged.


Keywords
--------

Topics include but are not limited to the theory and applications of:

    * Optimization for learning agents
    * Learning for multiagent optimization problems
    * Distributed constraint satisfaction and optimization
    * Winner determination algorithms in auctions
    * Coalition formation algorithms
    * Algorithms to compute Nash and other equilibria in games
    * Optimization under uncertainty
    * Optimization with incomplete or dynamic input data
    * Algorithms for real-time applications
    * Cloud, distributed and grid computing
    * Learning and Optimization in Societally Beneficial Domains


Submission Information
----------------------

Submission URL: https://easychair.org/conferences/?conf=optlearnmas21<https://urldefense.com/v3/__https://easychair.org/conferences/?conf=optlearnmas21__;!!OToaGQ!6plX_6BHIHbi9ln1IlUJRxbYMctLvmYpj8MDQP0DNe-4ltBYD6dNwMOWqrZKuhs$>

Submission Types:

    * Technical Papers: Full-length research papers of up to 7 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference.

    * Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest.

Fast Track (Rejected AAMAS or IJCAI papers):

Rejected AAMAS or IJCAI papers with *average* scores of at least 5.0 may be submitted directly to OptLearnMAS along with previous reviews. These submissions will not undergo the regular review process, but a light one, performed by the chairs, and will be accepted if the previous reviews are judged to meet the workshop standard.

All papers must be submitted in PDF format, using the AAMAS-21 author kit. Submissions should include the name(s), affiliations, and email addresses of all authors.
Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members.
Submissions of papers rejected from the AAMAS 2021 and IJCAI 2021 technical program are welcomed.

For questions about the submission process, contact the workshop chairs.


Reviewing process
-----------------

Papers will be reviewed by at least 2 program committee members. Criteria for selection of papers will include technical quality, novelty, significance, and clarity.


Format
------

The workshop will be a one-day meeting. It will include a number of (possibly parallel) technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of multiagent optimization and learning and will conclude with a panel discussion.


Attendance
----------

Attendance is open to all. At least one author of each accepted submission must be present at the workshop.


Organizing committee
--------------------

    * Ferdinando Fioretto - Syracuse University, NY, USA
    * Gauthier Picard - ONERA, Toulouse, France
    * Amulya Yadav - Penn State University, PA, USA
    * Bryan Wilder - Harvard University, MA, USA


Programme Committee
-------------------

    * Ana L. C. Bazzan - Universidade Federal do Rio Grande do Sul
    * Filippo Bistaffa - IIIA-CSIC
    * Alessandro Farinelli - Computer Science Department, Verona University
    * Tal Grinshpoun - Ariel University
    * Md. Mosaddek Khan - University of Dhaka
    * Rene Mandiau - LAMIH, Université de Valenciennes
    * Zinovi Rabinovich - Nanyang Technological University
    * Juan Antonio Rodriguez Aguilar - IIIA-CSIC
    * Marius Silaghi - FIT
    * William Yeoh - Washington University in St. Louis
    * Makoto Yokoo - Kyushu University
    * Roie Zivan - Ben Gurion University of the Negev
    * Maryam Tabar - Penn State University
    * Hangzhi Guo - Penn State University


--
Gauthier Picard, PhD, HDR
Senior Research Fellow
ONERA - DTIS - SYD
BP74025 - 2 avenue Edouard Belin, FR-31055 TOULOUSE CEDEX 4
Tel. +33 (0)5 62 25 26 54
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