CFP: International Workshop on Autonomous Agents and Multi‑Agent Systems for Space Applications (MASSpace‑26) at AAMAS, May 26th, 2026, Paphos, Cyprus

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Gauthier Picard

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International Workshop on Autonomous Agents and Multi‑Agent Systems for Space Applications (MASSpace‑26) at AAMAS 2026, May 26th, Paphos, Cyprus

https://mas-space.github.io/aamas2026ws/

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. Agent‑based and multi‑agent systems (MAS) are gaining traction in aerospace and space because they provide a promising approach for modelling and solving distributed, complex and dynamic problems. Example applications include:

  • Multiple spacecraft operations and maintenance
  • Onboard‑ground coordination
  • Mission simulation and multi‑mission operation
  • Autonomous navigation
  • Collective robotics

Relevant AAMAS topics such as Engineering Multi‑agent Systems, Knowledge Representation, Planning, Markets, Auctions, Game Theory, and Modelling & Simulation of Societies are all applicable.

Scope

Workshop Context

The MASSpace workshop is a multidisciplinary meeting to discuss contributions of autonomous agents and multi‑agent systems to the Space domain. As Space systems become larger and more complex (constellations, federations, heterogeneous robotic systems, etc.), expectations for accurate environmental monitoring, complex requests and richer exploration scenarios increase. Agent‑based and multi‑agent paradigms can help meet these expectations.

Recent papers applying AAMAS models to Space have demonstrated the need for a dedicated venue to (i) give Space experts the means to use MAS techniques, and (ii) challenge MAS techniques with novel Space problems.

Topics

Submissions are welcome on any of the following (non‑exhaustive) topics applied to Space‑related applications:

  • Organizations and institutions for Space systems
  • Policy, regulation, sanctions, accountability, legislation (especially NewSpace)
  • 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 for agent‑based Space applications
  • Human‑agent interaction in Space environments
  • Distributed problem solving for coordinated decision‑making by Space assets
  • Coalition formation for multiple missions and systems
  • Single‑agent & multi‑agent planning & scheduling
  • Reasoning and learning under uncertainty
  • Machine learning & deep learning for adaptive agents
  • Auctions and mechanism design for resource allocation in Space
  • Interactive simulation of Space systems
  • Simulation of complex systems (e.g., Space systems)
  • Fair allocation of Space assets among stakeholders
  • Single‑ and multi‑agent reinforcement learning (including safe, robust, explainable RL)
  • Multi‑robot coordination & collaboration for observation and exploration missions

The workshop welcomes any submission addressing these topics, from ground operations to deep‑space observation and exploration.

Important Dates

  • Submission of contributions: Feb 4, 2026
  • Paper acceptance notification: Mar 20, 2026
  • Call for participation: Mar 20, 2026
  • Workshop: May 26, 2026

Submission Instructions

Submission Types

  • Technical Papers – up to 8 pages (references & appendices excluded).
  • Short Papers – up to 4 pages (references & appendices excluded).

All papers must be PDF, using the AAMAS‑26 author kit: https://cyprusconferences.org/aamas2026/wp-content/uploads/2025/06/AAMAS-2026-Formatting-Instructions-pre-CR.zip

Submissions must include names, affiliations, and e‑mail addresses of all authors. Papers will be reviewed on technical quality, novelty, significance, and clarity by at least two PC members.

Chairs

-- 
Gauthier Picard, PhD, HDR
Directeur de Recherche / Senior Research Fellow
ONERA - DTIS - EDO
2 avenue Marc Pélegrin
BP74025
FR-31055 TOULOUSE CEDEX 4
Tel. +33 (0)5 62 25 26 54
https://www.onera.fr/en/staff/gauthier-picard/
https://w3.onera.fr/ailab/
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