[agents] Final CFP International Workshop on Autonomous Agents and Multi-Agent Systems for Space Applications (MASSpace 2024)

[Gauthier Picard]

Third Call for Papers International Workshop on Autonomous Agents and 
Multi-Agent Systems for Space Applications (MASSpace 2024)

at AAMAS 2024, the 23rd International Conference on Autonomous Agents 
and Multi-Agent Systems, Auckland, New Zealand (6–10 May 2024)

Website
=======

https://mas-space.github.io/aamas2024ws

Description
===========

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.

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.

Workshop Context
================

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.

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.
Topics

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):

- Organizations and institutions to model Space Systems
- Policy, regulation, sanctions, accountability and legislation for 
Space Systems, especially New Space Applications
- Trust and reputation in Space Systems
- Architecture and modelling for Space Applications
- Formal verification and validation of agent-based Space Systems
- Programming models and languages to develop agent-based Space Applications
- Human-agent interaction especially in Space environment and constraints
- Distributed problem solving to efficiently coordinate decisions made 
by space assets and actors
- Coalition formation to coordinate multiple missions and systems
- Single-agent and multi-agent planning and scheduling to determine 
plans to be performed by missions
- Reasoning and learning under uncertainty to devise robust plans and 
behaviors
- Machine learning and deep learning to adapt systems and agents behaviors
- Auctions and Mechanism Design to coordinate resource allocation in 
Space Systems
- Interactive simulation to assess Space Systems in realistic but 
simulated settings
- Simulation of complex systems such as Space Systems
- Fair Allocation of Space assets between multiple stakeholders
- Single- and Multi-agent Reinforcement Learning to learn collective 
behaviors
- RL in partially observable settings to handle uncontrolled environments
- Safe, Robust, Explainable RL to provide strong guarantees on learning 
agents
- Multi-robot coordination and collaboration for Observation and 
Exploration missions

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.

Important Dates
===============

- Submission of contributions to workshops: February 23, 2024 (new deadline)
- Paper acceptance notification: March 4, 2024
- Call for participation: March 18, 2024
- Workshop: May 6-7, 2024

Submission Instructions
=======================

Submission URL: https://cmt3.research.microsoft.com/MASSpace2024/

Submission Types
----------------

- 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.
- 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.

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.

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.

Organizers
==========
- Steve Chien, NASA JPL, USA (Chair)
- Gauthier Picard, ONERA, France (Chair)
- Itai Zilberstein, NASA JPL, USA (Co-chair)

-- 
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
https://www.onera.fr/en/staff/gauthier-picard/
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