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<p><font size="2"><font face="monospace">Call for Papers
International Workshop on Autonomous Agents and Multi-Agent
Systems for Space Applications (MASSpace 2024)</font></font></p>
<p><font size="2"><font face="monospace">at AAMAS 2024, the 23rd
International Conference on Autonomous Agents and Multi-Agent
Systems, Aauckland, New Zealand (6–10 May 2024)<br>
<br>
Website<br>
=======</font></font></p>
<p><font size="2"><font face="monospace"><a
class="moz-txt-link-freetext"
href="https://mas-space.github.io/aamas2024ws">https://mas-space.github.io/aamas2024ws</a><br>
</font></font></p>
<p><font size="2"><font face="monospace">Description<br>
===========<br>
<br>
This workshop aims at disseminating and sharing recent
advances in the use of agent-based and multi-agent-based
models and techniques in the Space domain. Indeed, the use of
agent-based and multi-agent systems (MAS) in aerospace and
space is gaining traction, as they offer a promising approach
for modeling and solving distributed, complex and dynamic
problems. Sample applications notably include multiple
spacecraft operations and maintenance, onboard-ground
coordination, mission simulation, multi-mission operation,
autonomous navigation, and collective robotics.<br>
<br>
AAMAS-related areas such as Engineering Multi-agent Systems,
Knowledge Representation, Reasoning, and Planning, Markets,
Auctions, and Non-Cooperative Game Theory or Modelling and
Simulation of Societies, develop relevant models and
techniques to address such Space-related applications.<br>
<br>
Workshop Context<br>
================<br>
<br>
The workshop on Autonomous Agents and Multi-Agent Systems for
Space Applications (MASSpace) aims to be a multidisciplinary
meeting place to discuss the contributions of autonomous
agents and multi-agent systems to the space domain. In deed,
the Space domain is moving fast, and recent evolution tends to
consider more and more complex and composite systems (e.g.
larger constellations, multiple-mission federations,
multi-user systems, heterogeneous robotic systems), with
stronger expectations, notably to perform more and more
accurate environmental monitoring, complex requests, or richer
exploration scenarios. In such context, agent-based and
multi-agent systems appear to provide relevant paradigms to
answer to these expectations.<br>
<br>
In recent years, several papers applying AAMAS models and
techniques to Space domain have been published in AAMAS and
other venues which strongly advocates for organizing an event
on the cross-fertilization of AAMAS and Space, as (i) to
provide Space domain experts with the means to use these
multi-agent models and techniques, and (ii) to challenge
multi-agents models and techniques with novel problems coming
from the Space domain. Thus, any AAMAS attendee could find
interest in participating to the workshop, due to the broad
scope of relevant AAMAS-related topics.<br>
Topics<br>
<br>
Since the early years of AAMAS, Space have been identified as
a very relevant and challenging application domain, and today,
with the ever growing size and complexity of Space missions
and their environment (e.g. NewSpace), all AAMAS topics and
techniques (see AAMAS call for papers) have becoming even more
relevant to address this innovative and challenging topics,
such as (but not limited to):<br>
<br>
- Organizations and institutions to model Space Systems<br>
- Policy, regulation, sanctions, accountability and
legislation for Space Systems, especially New Space
Applications<br>
- Trust and reputation in Space Systems<br>
- Architecture and modelling for Space Applications<br>
- Formal verification and validation of agent-based Space
Systems<br>
- Programming models and languages to develop agent-based
Space Applications<br>
- Human-agent interaction especially in Space environment and
constraints<br>
- Distributed problem solving to efficiently coordinate
decisions made by space assets and actors<br>
- Coalition formation to coordinate multiple missions and
systems<br>
- Single-agent and multi-agent planning and scheduling to
determine plans to be performed by missions<br>
- Reasoning and learning under uncertainty to devise robust
plans and behaviors<br>
- Machine learning and deep learning to adapt systems and
agents behaviors<br>
- Auctions and Mechanism Design to coordinate resource
allocation in Space Systems<br>
- Interactive simulation to assess Space Systems in realistic
but simulated settings<br>
- Simulation of complex systems such as Space Systems<br>
- Fair Allocation of Space assets between multiple
stakeholders<br>
- Single- and Multi-agent Reinforcement Learning to learn
collective behaviors<br>
- RL in partially observable settings to handle uncontrolled
environments<br>
- Safe, Robust, Explainable RL to provide strong guarantees on
learning agents<br>
- Multi-robot coordination and collaboration for Observation
and Exploration missions<br>
<br>
The workshop welcomes submissions addressing any such topics
applied to any Space-related application or used case, ranging
from ground operations to deep space observation and
exploration.<br>
<br>
Important Dates<br>
===============<br>
<br>
- Submission of contributions to workshops: February 5, 2024<br>
- Paper acceptance notification: March 4, 2024<br>
- Call for participation: March 18, 2024<br>
- Workshop: May 6-7, 2024<br>
<br>
Submission Instructions<br>
=======================<br>
<br>
Submission URL: <a class="moz-txt-link-freetext"
href="https://cmt3.research.microsoft.com/MASSpace2024/">https://cmt3.research.microsoft.com/MASSpace2024/</a><br>
<br>
Submission Types<br>
----------------<br>
<br>
- Technical Papers: Full-length research papers of up to 8
pages (excluding references and appendices) detailing high
quality work in progress or work that could potentially be
published at a major conference.<br>
- 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.<br>
<br>
All papers must be submitted in PDF format, using the AAMAS-24
author kit. Submissions should include the name(s),
affiliations, and email addresses of all authors.<br>
<br>
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.<br>
<br>
Organizers<br>
==========<br>
- Steve Chien, NASA JPL, USA (Chair)<br>
- Gauthier Picard, ONERA, France (Chair)<br>
- Itai Zilberstein, NASA JPL, USA (Co-chair)<br>
</font></font><br>
</p>
<pre class="moz-signature" cols="72">--
Gauthier Picard, PhD, HDR
Directeur de Recherche / Senior Research Fellow
ONERA - DTIS - SYD
BP74025 - 2 avenue Edouard Belin, FR-31055 TOULOUSE CEDEX 4
Tel. +33 (0)5 62 25 26 54
<a class="moz-txt-link-freetext"
href="https://www.onera.fr/en/staff/gauthier-picard/">https://www.onera.fr/en/staff/gauthier-picard/</a></pre>
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