https://mas-space.github.io/aamas2026ws/
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:
Relevant AAMAS topics such as Engineering Multi‑agent Systems, Knowledge Representation, Planning, Markets, Auctions, Game Theory, and Modelling & Simulation of Societies are all applicable.
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.
Submissions are welcome on any of the following (non‑exhaustive) topics applied to Space‑related applications:
The workshop welcomes any submission addressing these topics, from ground operations to deep‑space observation and exploration.
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.
-- 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/