[agents] [CFP] Second Call for Papers: JAIR Special Track on Multi-Agent Path Finding

[Sven Koenig]

**

*This is a Call for Papers to the Journal of Artificial Intelligence 
Research (JAIR) Special Track on the topic of Multi-Agent Path Finding 
(https://jair.org/index.php/jair/SpecialTrack-MAPF 
<https://jair.org/index.php/jair/SpecialTrack-MAPF>).*

*

TRACK EDITORS:


Daniel Harabor, Monash University

Sven Koenig, University of California, Irvine

Jingjin Yu, Rutgers University


TRACK OVERVIEW:


Multi-Agent Path Finding (MAPF) is the abstract combinatorial problem of 
computing collision-free movement plans for a team of cooperative 
agents. The ability to solve instances of MAPF, efficiently and 
effectively, is a key enabler for many current and emerging industrial 
applications. These include warehouse logistics, train planning, pipe 
routing, robotic manufacturing, and many others.


MAPF is studied by researchers and practitioners from across all areas 
of Artificial Intelligence, including Planning, Discrete Optimisation, 
Heuristic Search, Machine Learning, and Robotics. Topics of interest 
include but are not limited to:


  *

    Theoretical foundations and complexity analyses.

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    Symbolic approaches for solving MAPF, including search algorithms,
    compilation and reduction methods as well as reactive and rule-based
    techniques.

  *

    Learning approaches for solving MAPF, including supervised,
    unsupervised, and reinforcement techniques.

  *

    Generalisations of MAPF, including agent kino-dynamics, limited
    communication, and delivery deadlines.

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    Lifelong MAPF, including online planning, task allocation, execution
    monitoring, and explainability.

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    Execution considerations, including action failures, agent delays,
    dynamic map changes, and other sources of uncertainty.

  *

    Thoughtful critiques, meta-analyses, and surveys of the subject area.

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    Empirical analyses and MAPF benchmarks.

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    Real-world applications.


CALL FOR SUBMISSIONS:


We invite researchers and practitioners to submit novel, original, and 
significant works, on all aspects of MAPF, to the JAIR special track.


Submissions must be original, meaning that they have not previously 
appeared in the archival proceedings of any scholarly conference or 
journal. Papers that have only appeared at workshops or only as extended 
abstracts of no more than 2 pages are considered original. Substantially 
extended and improved versions of archival conference papers may also be 
considered original, provided that authors include appropriate citations 
to the conference paper and explain how their new submission extends and 
improves upon the earlier work.


Novelty and significance can be established by the artificial 
intelligence techniques themselves, their analysis, their experimental 
evaluations (including via comparisons to existing techniques), and by 
their application to important industrial settings. Novelty and 
significance can also be demonstrated via thoughtful critiques of the 
area. Surveys and meta-analyses in particular should enrich the body of 
scholarly work being discussed.


SUBMISSION INFORMATION:


The submission period is July 1, 2024  to December 31, 2024.


Instructions for authors are available from the journal website: 
https://jair.org/index.php/jair/about/submissions 
<https://jair.org/index.php/jair/about/submissions>


Our target response time for accept/reject decisions is 3 months from 
the time of submission. Some articles may require revision and 
re-reviewing before a final decision is made.


Articles included in the special track will be made available as soon as 
they have been accepted.


We look forward to receiving your submissions!

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