*** First Combo Call for Workshop Papers *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial submission of 1800 abstracts. This is by far the highest number of submissions (around 50% more than the previous highest number) in the 25 years of AAMAS. The conference will feature the following workshops with open calls for submission. Please visit the workshops' websites and/or contact their organisers for more details and important dates. 2nd Workshop on AI for Critical Infrastructure and Government (AI4CNI-26) https://sites.google.com/view/ai4cni-26/ Critical National Infrastructure (CNI) forms the backbone of modern society, yet its increasing complexity requires increasingly autonomous operation and makes it vulnerable to cascading failures and cyber-physical threats. The AI4CNI workshop explores the transformative potential of artificial intelligence and multi-agent systems to enhance the efficiency, resilience, and defense of vital services like energy, transportation, communication networks and healthcare. 18th International Workshop on Adaptive and Learning Agents (ALA) https://alaworkshop2026.github.io/ Adaptive and Learning Agents (ALA) brings together researchers working on learning, adaptation, and autonomous behaviour in single- and multi-agent systems. The workshop welcomes contributions from across computer science (including reinforcement learning, agent architectures, evolutionary computation, planning, and game theory) as as well as from related fields such as cognitive science, biology, economics, and the social sciences. Autonomous Robots and Multirobot Systems (ARMS) https://arms2026.di.unimi.it/ Robots are agents, too. Indeed, agents researchers often use robotics problems as motivating examples. Both practical and analytical techniques developed by agents researchers influence, and are influenced by, research in autonomous robots and multi- robot systems. Despite the overlap between the agents and robotics research areas, researchers from these communities only have a few opportunities to meet and interact. The Robotics Area of Interest in the main AAMAS conference (formerly, the “Robotics Track”) is one such opportunity. The goal of this workshop is to build on this opportunity, offering an informal and dedicated forum where agents and robotics researchers can interact, discuss promising research directions and open problems, and foster further collaborations. Contributions are sought in all areas of robotics, in particular as related to autonomous agents research. Theoretical papers are welcome, as long as they clearly specify the connection to challenges in robotics. Empirical studies should ideally present experiments with real robots, though physical simulation studies are also acceptable. Papers that focus on mechanical aspects and low-level control should make an effort to relate this work to the agents community. 7th International Workshop on Agents for Societal Impact (ASI) https://panosd.eu/asi2026/ This workshop focuses on the design, analysis, and deployment of intelligent agents that contribute positively to society. As AI agents become increasingly autonomous and embedded in real-world systems, it is critical to ensure that their behavior aligns with human values and societal goals, rather than optimizing narrowly defined technical objectives. The workshop provides a forum to discuss how agent-based technologies can be responsibly applied to real-world societal systems, including (but not limited to): healthcare, education, climate, sustainability, conservation, public infrastructure, labor markets, governance and policy design, etc. The goal is to identify new MAS problems in societies, develop novel MAS solutions to resolve social challenges, and learn from the real-world deployment of MAS. 14th International Workshop on Agents in Traffic and Transportation (ATT 2026) https://sites.google.com/unimib.it/att2026/ The ATT 2026 workshop focuses on AI-driven modeling, simulation, control, and management of large-scale traffic and transportation systems. It addresses the challenges of distributed, autonomous, and data-rich mobility systems operating under uncertainty and societal constraints. The workshop invites contributions on multi-agent systems, machine learning, optimization, control, and data-centric AI approaches. Topics include autonomous and connected vehicles, intelligent traffic control, digital twins, shared mobility, and multi-modal transportation. Both theoretical advances and real-world applications enabling safe, robust, and scalable intelligent transportation are welcomed. Citizen-Centric Multi Agent Systems 2026 (C-MAS 2026) https://sites.google.com/view/cmas2026 Join us for the C-MAS 2026 workshop, where we explore citizen-centric AI and multiagent systems. In today’s world, large-scale AI systems hold the potential to tackle critical societal challenges, from decarbonising our energy system to facilitating on-demand mobility and improving disaster response. However, we often overlook the active role of citizen end users, treating them merely as data providers and service consumers. Our workshop aims to shift this perspective and explore innovative approaches that treat citizen end users as primary agents with diverse needs and preferences. By doing so, we can develop more trustworthy, fair, and widely accepted sociotechnical solutions to pressing societal challenges. 11th Workshop on Collaboration of Humans, Agents, Robots, Machines and Sensors (CHARMS 2026) https://charms2026.github.io/ Cyber physical systems (CPS) are becoming more involved in the lives of humans. All indications point to a future where many varieties of CPS and humans co-exist and, at a minimum, must interact consistently through life’s tasks. This workshop will explore ideas of the future to understand, discern and develop the relationship between humans and CPS and the practical nature of software agents to facilitate the integration. Causal Learning and Reasoning in Agents and Multi-Agent Systems (CLaRAMAS) https://claramas-workshop.github.io/claramas2026/ CLaRAMAS aims to foster cross-disciplinary exchange and synergistic collaboration between two complementary communities: the AAMAS community and the Causal Learning and Reasoning (CLR) community. The overarching goal is to bridge these domains by exploring the following open questions: How CLR techniques can enhance agent-based decision-making? How agent-oriented perspectives can leverage the operational deployment of CLR in real-world applications? Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi- Agent Systems (COINE) https://coin-workshop.github.io/coine-2026-paphos/ This workshop is an evolution of the COIN (Coordination, Organizations, Institutions and Norms in Agent Systems) workshop series that ran at various conferences including AAMAS (18 times), IJCAI (twice), AAAI in 2008 and ECAI in 2006 and 2016, and produced 17 volumes of post-proceedings in Springer’s Lecture Notes in Artificial Intelligence. The 18th volume of COINE post-proceedings is in progress. In 2020, ethics was added to the name and acronym (now COINE), and also the notion of governance of MAS was added to the full workshop title as this is the common objective uniting the various threads of research (coordination, organizations, etc.) undertaken. The workshop in the new format has been held six times (2020–2025). 14th International Workshop on Engineering Multi-Agent Systems (EMAS 2026) https://w3id.org/emas/2026/ EMAS 2026 builds on the long-standing tradition of the Workshop on Engineering Multi- Agent Systems, advancing the design, implementation, and deployment of autonomous agents and Multi-Agent Systems (MAS) through research on theories, architectures, languages, platforms, and methodologies. To engage with emerging augmented language models and agentic systems and build on decades of established MAS engineering approaches, this 14th edition focuses on Hybrid Agent Architectures and Multi-Agent Systems. We invite contributions covering the diversity of approaches to engineering agents and MAS: submissions may focus on established or emerging approaches, as well as hybrid approaches that integrate the two, exploring, among others, questions such as how elements from different agent architectures can be combined to create more capable agents, and how MAS can be designed to ensure interoperability, coordination, and governance among heterogeneous agents. 8th International Workshop on EXplainable, Trustworthy, & Responsible AI & Multi‑Agent Systems (EXTRAAMAS 2026) https://extraamas.ehealth.hevs.ch/index.html The International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi- Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and forum. It aims to discuss and disseminate research on explainable artificial intelligence, with a particular focus on intra/inter-agent(ic) explainability and cross-disciplinary perspectives. In its 8th edition, EXTRAAMAS 2026 identifies four particular focus topics with the ultimate goal of strengthening cutting-edge foundational and applied research. The 8th Games, Agents, and Incentives Workshop (GAIW-26) https://gtep-workshops.github.io/gaiw2026/ Games, Agents and Incentives is a confederated workshop which focuses on agents and incentives in AI. In particular, it promotes approaches that deal with game theory (cooperative and non-cooperative), social choice, and agent-mediated e-commerce aspects of AI systems. The confederated workshop merges multiple workshops that have been associated with AAMAS in the past, which considered different aspects of the general interplay between AI and economics including CoopMAS, AMEC, and EXPLORE. 27th International Workshop on Multi-Agent-Based Simulation (MABS 2026) https://mabsworkshop.github.io/ MABS focuses on the confluence of social sciences and multi-agent systems, with a strong application/empirical vein, and it emphasizes, (i) exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences and (ii) using social theories as an inspiration for new frameworks and developments in multi-agent systems. MABS 2026 continues its tradition of fostering cross-fertilisation and innovation in MAS engineering and complex social and sociotechnical systems modeling. The workshop encourages submissions in areas such as simulation methodology and tools, simulation of social and intelligent behaviour, diverse applications, and simulation analytics. International Workshop on Autonomous Agents and Multi-Agent Systems for Space Applications (MASSpace) 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. 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. NEurosymbolic eXplainable trUstworthy Systems (NEXUS) https://nexus.telecom-paris.fr/ The opacity of current deep learning models is a major barrier to adoption where accountability is essential. NEXUS focuses on neurosymbolic reasoning as a foundational approach to building theory, applications, and tools for well-calibrated and trustworthy autonomy. This paradigm moves beyond a narrow focus on formal logic, concerning itself with the integration of deep and reinforcement learning algorithms with a broad spectrum of structured knowledge. Workshop on Optimization and Learning in Multi-Agent Systems (OptLearnMAS) https://optlearnmas.github.io The goal of the workshop is to provide researchers with a venue to discuss models or techniques for tackling a variety of multi-agent optimization problems. We seek contributions in the general area of multi-agent optimization, including distributed optimization, coalition formation, optimization under uncertainty, winner determination algorithms in auctions and procurements, and algorithms to compute Nash and other equilibria in games. Of particular emphasis are contributions at the intersection of optimization and learning. This workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization and learning problems or problems that can be effectively solved by adopting a multi-agent framework. Rebellion and Disobedience in Artificial Intelligence (RaD-AI) https://sites.google.com/view/rad-ai/home Should intelligent autonomous agents always obey human commands or instructions? In some contexts, they should not. Most existing research on collaborative robots and agents assumes that a “good” agent complies with the instructions it is given and works in a predictable manner under the consent of the human operator(s) it serves (e.g., it should never deceive its operator). Our RaD-AI workshop challenges this assumption; we will reconsider the desired abilities and responsibilities of collaborative agents. For example, these include exhibiting behavior that attempts appropriate and harm-preventing non- compliance (e.g., safety constraints in autonomous vehicles or training LLMs to avoid potentially harmful or norm-violating output), among others. Our agenda will include accepted submissions that describe novel (and/or survey existing) contributions, or propose new directions, related to RaD-AI in the context of intelligent social agents, human-agent interaction, and their societal effects, along with invited talks and other events. We warmly welcome participation from AAMAS-26 conference attendees! Strategic Engineering Workshop (SE) https://sites.google.com/view/se-aamas2026 Real-world interactions are messy; Game Theory is rigorous. Historically, connecting the two required expensive manual modeling. “Strategic Engineering” seeks to automate this pipeline. We ask: How can LLMs serve as architects, translating everyday scenarios into the formal structures that Game Theory (GT) and Multi-Agent Systems (MAS) require? If we can automate the creation of the “world model”, we can unlock the full power of classical GT/ MAS reasoning for any situation. We invite submissions that fuse the generative capabilities of LLMs with the reasoning power of GT/MAS, creating a new class of agents capable of navigating complex, strategic environments. Organizing Committee AAMAS 2026 General Chairs • Viviana Mascardi, University of Genova, Italy • John Thangarajah, RMIT University, Australia AAMAS 2026 Program Chairs • Chris Amato, Northeastern University, United States of America • Louise Dennis, University of Manchester, United Kingdom AAMAS 2026 Local Chairs • George A. Papadopoulos, University of Cyprus, Cyprus (Chair) • Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair)