[agents] [Deadline approaching] Special Issue of JAAMAS on Multi-Objective Decision Making (MODeM)

[Patrick Mannion]

https://www.springer.com/journal/10458/updates/18060632

In recent years there has been a growing awareness of the need for
automated and assistive decision making systems to move beyond
single-objective formulations when dealing with complex real-world issues,
which invariably involve multiple competing objectives. The purpose of this
special issue is to promote collaboration and cross-fertilisation of ideas
between researchers working in different areas of multi-objective decision
making and on the topics of interest below, and to provide a forum for
dissemination of high-quality multi-objective decision making research.

The special issue (SI) targets high-quality original papers covering all
aspects of multi-objective decision making, including, but not limited to,
the list of topics below. Manuscripts that extend a previous conference or
workshop publication are welcome, provided that there is a significant
amount of new material in the submission (i.e. the manuscript should
contain at least 50% new material).

Topics

The following is a non-exhaustive list of topics that we would like to
cover in the special issue:


   -

   Multi-objective/multi-criteria/multi-attribute decision making
   -

   Multi-objective reinforcement learning
   -

   Multi-objective planning and scheduling
   -

   Multi-objective multi-agent decision making
   -

   Multi-objective game theory
   -

   Multi-objective/multi-criteria/multi-attribute utility theory
   -

   Preference elicitation for MODeM
   -

   Social choice and MODeM
   -

   Multi-objective decision support systems
   -

   Multi-objective metaheuristic optimisation (e.g. evolutionary
   algorithms) for autonomous agents and multi-agent systems
   -

   Multi-objectivisation
   -

   Explainable MODeM
   -

   Applications of MODeM


Timeline

Submission deadline: October 1, 2021

Manuscript submissions will be considered for publication in the MODeM
special issue on a continuous basis until the submission deadline.
Submissions accepted for publication before the completion of the special
issue will be available on the journal website shortly after acceptance.

Submission procedure

Before submitting, authors should read the JAAMAS submission guidelines at
http://www.springer.com/10458 in full. To submit, you should visit the
online system at https://www.editorialmanager.com/agnt/ and create a new
account if you do not already have one. When creating your submission on
the system, select the submission type "Manuscript", and then in the
"Additional Information" section, answer "Yes" when asked if your
manuscript belongs to a special issue, then select "S.I. : Multi-Objective
Decision Making (MODeM)". If you do not mark your manuscript correctly as
belonging to the MODeM special issue, it may not reach the correct editors.

If you are considering submitting to the special issue, we would appreciate
it if you could send a brief email to patrick.mannion at nuigalway.ie with a
tentative title and tentative list of authors. Announcing your intention to
submit to the SI is entirely optional, although it will help us greatly
with planning for the review and publication process for the SI in the
coming months.

MODeM 2021 workshop

In support of this special issue, an online workshop on Multi-Objective
Decision Making (MODeM 2021) was held on 14, 15 and 16 July 2021 (see
http://modem2021.cs.nuigalway.ie/ for full details). We anticipate that
extended versions of a number of MODeM 2021 papers will appear in this SI.
The JAAMAS MODeM special issue has an open call for papers, so we would
also very much welcome original manuscripts that are not based on a MODeM
2021 paper (e.g. extended versions of relevant work that was presented at
another conference or workshop, or indeed entirely new work that has not
previously appeared in an archival forum).

Editors’ CVs

Patrick Mannion is a Lecturer in the School of Computer Science at National
University of Ireland Galway, and also serves as Deputy Editor of The
Knowledge Engineering Review journal. He is a former Irish Research Council
Scholar, and a former Fulbright Scholar. Dr Mannion served as Co-Chair for
the 2017, 2018 and 2019 editions of the Adaptive and Learning Agents
workshop series. He is a co-author of the survey on multi-objective
multi-agent decision making that was recently published in JAAMAS (
https://doi.org/10.1007/s10458-019-09433-x). His main research interests
include (sequential) decision making, multi-agent systems, multi-objective
optimisation, game theory and metaheuristic algorithms.

Diederik M. Roijers is a Senior Lecturer in Technical Computer Science, and
member of the Microsystems Technology research group at HU University Of
Applied Sciences Utrecht in the Netherlands, and Senior Researcher at the
AI research group at the Vrije Universiteit Brussel in Brussels, Belgium.
He is a co-author of the survey on multi-objective multi-agent decision
making that was recently published in JAAMAS (
https://doi.org/10.1007/s10458-019-09433-x), and first author of the
seminal survey on multi-objective decision making in JAIR (
http://dx.doi.org/10.1613/jair.3987) as well as the book on this topic in
the Synthesis Lectures on Artificial Intelligence and Machine Learning
series from Morgan and Claypool (
http://dx.doi.org/10.2200/S00765ED1V01Y201704AIM034). His main research
interests are reinforcement learning, decision-theoretic planning and
multi-agent systems, especially with multiple objectives.

Peter Vamplew is an Associate Professor in Information Technology within
the school of Science, Engineering and Information Technology at Federation
University. He is currently an Associate editor for Neurocomputing journal.
He has been a pioneer in multi-objective reinforcement learning research
for over a decade, including co-authoring a key survey of multi-objective
sequential decision-making (http://dx.doi.org/10.1613/jair.3987). His main
interests are the development, evaluation and application of
multi-objective reinforcement learning algorithms, particularly in the
context of developing safe and ethical autonomous agents.

Richard Dazeley is an Associate Professor of Computer Science at Deakin
University (Geelong) where he is the Deputy Leader of the Machine
Intelligence Lab and Director of the Master of Applied Artificial
Intelligence. Along with over a dozen papers in multi-objective
reinforcement learning and optimisation he is also the co-author of the
seminal survey on multi-objective decision making in JAIR (
http://dx.doi.org/10.1613/jair.3987). He was a member of the IEEE P7001
Transparency of Autonomous Systems working group and has organised and
served on numerous program committees for many leading conferences such as
ACKMIDS, AAMAS, PRICAI, IJCAI, ALA and regularly reviews for leading
journals e.g. AIJ, Neurocomputing, TKDE, JRPIT and KAIS. His current
research interests are in applying reinforcement learning and
multi-objective principles in the development of interactive, safe, ethical
and explainable systems.
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