[agents] ADT 2024 - PRELIMINARY CALL FOR PAPERS

[Nicholas Mattei]

*ADT** 2024 - PRELIMINARY CALL FOR PAPERS*

The 8th International Conference on Algorithmic Decision Theory - ADT 2024
<https://preflib.github.io/adt2024/index> will be held October 14-16, 2024,
at the Center for Discrete Mathematics and Theoretical Computer Science
(DIMACS) at Rutgers University.



ADT 2024 focuses on algorithmic decision theory broadly defined, seeking to
bring together researchers and practitioners coming from diverse areas of
Computer Science, Economics, and Operations Research in order to improve
the theory and practice of modern decision support. The conference topics
include research in: Algorithms, Argumentation Theory, Artificial
Intelligence, Computational Social Choice, Database Systems, Decision
Analysis, Discrete Mathematics, Game Theory, Machine Learning and
Adversarial Machine Learning, Matching, Multi-agent Systems, Multiple
Criteria Decision Aiding, Networks, Optimization, Preference Modeling, Risk
Analysis and Adversarial Risk Analysis, and Utility Theory.

ADT 2024 provides a multi-disciplinary forum for sharing knowledge in this
area with a special focus on algorithmic issues in decision theory,
continuing the tradition of the first seven editions of the International
Conference on Algorithmic Decision Theory (ADT 2009 Venice, ADT 2011
Rutgers, ADT 2013 Brussels, ADT 2015 Lexington KY, ADT 2017 Luxembourg, ADT
2019 Durham NC, ADT 2021 Toulouse) which brought together researchers and
practitioners from around the globe.

*Important Dates*



*Title and Abstract Submission*: May 10, 2024

*Full Paper Submission*: May 17, 2024

*Notification*: July 19, 2024

*Final Version of Accepted Papers*: August 9, 2024

*Conference Dates*: October 14-16, 2024



*Submissions*

Submissions are invited on significant, original and previously unpublished
research on all aspects of Algorithmic Decision Theory. Papers must be at
most 15 pages long in the LNCS format (including references). The formal
proceedings of ADT 2024 will be published by Springer Verlag in the Lecture
Notes in Artificial Intelligence (LNAI) <http://www.springer.com/lncs>.

ADT 2024 will not accept any paper that, at the time of submission, has
already been published in a journal or another venue with formally
published proceedings. However, in order to accommodate the publication
norms of the many fields that work on decision theory, papers can be
submitted but not already published elsewhere provided the authors note
they are submitting for the non-proceedings track at the top of their
submission.

All papers will be peer-reviewed by a double-blind procedure. Therefore,
papers must be submitted anonymously as pdf documents via the Microsoft CMT
<https://cmt3.research.microsoft.com/ADT2024> system.

It is important and required that authors do not reveal their identities in
submitted papers. Since the review process is double blind, authors must
take measures to ensure that their identity is not easily revealed from the
submission itself. Authors should include the submission number (as
assigned by the conference system) in the author field of the submission,
and refer to their prior work in a neutral manner (i.e., instead of saying
“We showed” say “XYZ et al. showed”). It is acceptable to submit work that
has been presented in public or has appeared on arXiv, provided the
submission itself is anonymized.

*Submission Format:* Authors should consult Springer’s authors’ guidelines
and use their proceedings templates
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>,
either for LaTeX or for Word, for the preparation of their papers. Note
that at least one author of each accepted paper is required to attend the
conference to present the work. Authors will be required to agree to this
requirement at the time of submission. In addition, the corresponding
author of each accepted paper that will appear in the proceedings, acting
on behalf of all of the authors of that paper, will need to complete and
sign a Consent-to-Publish form, through which the copyright for their paper
is transferred to Springer.

To accommodate the publishing traditions of different fields, ADT 2024 will
accept two types of submissions:

*Submissions with full text in the proceedings:* Papers of this type will
be accepted for either oral or poster presentation, or both. Each accepted
paper of this type will be allocated at most 15 pages in the proceedings
and there will be no distinction between papers accepted for oral or poster
presentation in the conference proceedings.

*Submissions with one-page abstract in the proceeding:* Papers of this type
will be accepted for either oral or poster presentation, or both. Each
accepted paper of this type will appear as a one-page abstract in the
proceedings, along with a URL pointing to the full paper. This option is
available to accommodate subsequent publication in journals that would not
consider results that have been published in preliminary form in conference
proceedings. Such papers must be formatted just like papers submitted for
full-text publication, at the submission time, but authors are required to
write “submission without proceedings” into the author field of their paper
(instead of author names), if they choose this category. Otherwise, it will
be assumed, by default, that their paper is submitted in the first category
(submissions with full-text in the proceedings).

Rupert Freeman and Nicholas Mattei

ADT 2024 Program Co-Chairs



David Pennock and Lirong Xia

ADT 2024 General Chairs

-- 
*Nicholas Mattei*
Assistant Professor, Tulane University
nsmattei at tulane.edu | www.nickmattei.net
Stanley Thomas Hall | 305B
+1 504 865 5782
Department of Computer Science
Tulane University
6823 St Charles Ave
New Orleans, LA 70118
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