International Workshop on Autonomous Agents and Multi-Agent Systems for Space Applications
MASSpace-26
May 26, 2026, at AAMAS 2026, the 25th International Conference on Autonomous Agents and Multi-Agent Systems, Paphos, Cyprus

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, heterogenous 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.

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.