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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>*** First Combo Call for Workshop Papers ***</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>The 25th International Conference on Autonomous Agents and Multiagent</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>Systems (AAMAS 2026)</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>May 25-29, 2026,
</b></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>5* Coral Beach Hotel & Resort, Paphos, Cyprus</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b><a href="https://cyprusconferences.org/aamas2026/">https://cyprusconferences.org/aamas2026/</a></b></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">submission of 1800 abstracts. This is by far the highest number of submissions (around
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">50% more than the previous highest number) in the 25 years of AAMAS.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The conference will feature the following workshops with open calls for</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">submission. Please visit the workshops' websites and/or contact their organisers for</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">more details and important dates.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>2nd Workshop on AI for Critical Infrastructure and Government (AI4CNI-26)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://sites.google.com/view/ai4cni-26/">https://sites.google.com/view/ai4cni-26/</a></u></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Critical National Infrastructure (CNI) forms the backbone of modern society, yet its
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">increasing complexity requires increasingly autonomous operation and makes it</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">vulnerable to cascading failures and cyber-physical threats. The AI4CNI workshop</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">explores the transformative potential of artificial intelligence and multi-agent systems to</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">enhance the efficiency, resilience, and defense of vital services like energy, transportation,</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">communication networks and healthcare.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>18th International Workshop on Adaptive and Learning Agents (ALA)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://alaworkshop2026.github.io/">https://alaworkshop2026.github.io/</a></u></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Adaptive and Learning Agents (ALA) brings together researchers working on learning,</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">adaptation, and autonomous behaviour in single- and multi-agent systems. The workshop</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">welcomes contributions from across computer science (including reinforcement learning,
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">agent architectures, evolutionary computation, planning, and game theory) as as well as
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">from related fields such as cognitive science, biology, economics, and the social sciences.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Autonomous Robots and Multirobot Systems (ARMS)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://arms2026.di.unimi.it/">https://arms2026.di.unimi.it/</a></u></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Robots are agents, too. Indeed, agents researchers often use robotics problems as
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">motivating examples. Both practical and analytical techniques developed by agents
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">researchers influence, and are influenced by, research in autonomous robots and multi-</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">robot systems. Despite the overlap between the agents and robotics research areas,
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">researchers from these communities only have a few opportunities to meet and interact.
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The Robotics Area of Interest in the main AAMAS conference (formerly, the \u201cRobotics
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Track\u201d) is one such opportunity. The goal of this workshop is to build on this opportunity,
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">offering an informal and dedicated forum where agents and robotics researchers can
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">interact, discuss promising research directions and open problems, and foster further
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">collaborations. Contributions are sought in all areas of robotics, in particular as related to</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">autonomous agents research. Theoretical papers are welcome, as long as they clearly
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">specify the connection to challenges in robotics. Empirical studies should ideally present
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">experiments with real robots, though physical simulation studies are also acceptable.
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Papers that focus on mechanical aspects and low-level control should make an effort to
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">relate this work to the agents community.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>7th International Workshop on Agents for Societal Impact (ASI)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://panosd.eu/asi2026/">https://panosd.eu/asi2026/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">This workshop focuses on the design, analysis, and deployment of intelligent agents that
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">contribute positively to society. As AI agents become increasingly autonomous and
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">embedded in real-world systems, it is critical to ensure that their behavior aligns with
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">human values and societal goals, rather than optimizing narrowly defined technical
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">objectives. The workshop provides a forum to discuss how agent-based technologies can
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">be responsibly applied to real-world societal systems, including (but not limited to):
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">healthcare, education, climate, sustainability, conservation, public infrastructure, labor
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">markets, governance and policy design, etc. The goal is to identify new MAS problems in
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">societies, develop novel MAS solutions to resolve social challenges, and learn from the
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">real-world deployment of MAS.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>14th International Workshop on Agents in Traffic and Transportation (ATT 2026)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://sites.google.com/unimib.it/att2026/">https://sites.google.com/unimib.it/att2026/</a></u></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The ATT 2026 workshop focuses on AI-driven modeling, simulation, control, and
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">management of large-scale traffic and transportation systems. It addresses the challenges</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">of distributed, autonomous, and data-rich mobility systems operating under uncertainty
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">and societal constraints. The workshop invites contributions on multi-agent systems,
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">machine learning, optimization, control, and data-centric AI approaches. Topics include</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">autonomous and connected vehicles, intelligent traffic control, digital twins, shared
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">mobility, and multi-modal transportation. Both theoretical advances and real-world
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">applications enabling safe, robust, and scalable intelligent transportation are welcomed.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Citizen-Centric Multi Agent Systems 2026 (C-MAS 2026)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://sites.google.com/view/cmas2026">https://sites.google.com/view/cmas2026</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Join us for the C-MAS 2026 workshop, where we explore citizen-centric AI and multiagent</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">systems. In today\u2019s world, large-scale AI systems hold the potential to tackle critical
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">societal challenges, from decarbonising our energy system to facilitating on-demand
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">mobility and improving disaster response. However, we often overlook the active role of
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">citizen end users, treating them merely as data providers and service consumers. Our
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">workshop aims to shift this perspective and explore innovative approaches that treat
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">citizen end users as primary agents with diverse needs and preferences. By doing so, we
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">can develop more trustworthy, fair, and widely accepted sociotechnical solutions to
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">pressing societal challenges.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>11th Workshop on Collaboration of Humans, Agents, Robots, Machines and Sensors</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>(CHARMS 2026)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://charms2026.github.io/">https://charms2026.github.io/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Cyber physical systems (CPS) are becoming more involved in the lives of humans. All
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">indications point to a future where many varieties of CPS and humans co-exist and, at a
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">minimum, must interact consistently through life\u2019s tasks. This workshop will explore ideas
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">of the future to understand, discern and develop the relationship between humans and</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">CPS and the practical nature of software agents to facilitate the integration.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Causal Learning and Reasoning in Agents and Multi-Agent Systems (CLaRAMAS)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://claramas-workshop.github.io/claramas2026/">https://claramas-workshop.github.io/claramas2026/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">CLaRAMAS aims to foster cross-disciplinary exchange and synergistic collaboration
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">between two complementary communities: the AAMAS community and the Causal</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Learning and Reasoning (CLR) community. The overarching goal is to bridge these domains</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">by exploring the following open questions: How CLR techniques can enhance agent-based
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">decision-making? How agent-oriented perspectives can leverage the operational
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">deployment of CLR in real-world applications?</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Agent Systems (COINE)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://coin-workshop.github.io/coine-2026-paphos/">https://coin-workshop.github.io/coine-2026-paphos/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">This workshop is an evolution of the COIN (Coordination, Organizations, Institutions and
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Norms in Agent Systems) workshop series that ran at various conferences including</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">AAMAS (18 times), IJCAI (twice), AAAI in 2008 and ECAI in 2006 and 2016, and produced
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">17 volumes of post-proceedings in Springer\u2019s Lecture Notes in Artificial Intelligence. The
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">18th volume of COINE post-proceedings is in progress. In 2020, ethics was added to the
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">name and acronym (now COINE), and also the notion of governance of MAS was added to
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">the full workshop title as this is the common objective uniting the various threads of
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">research (coordination, organizations, etc.) undertaken. The workshop in the new format
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">has been held six times (2020\u20132025).</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>14th International Workshop on Engineering Multi-Agent Systems (EMAS 2026)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://w3id.org/emas/2026/">https://w3id.org/emas/2026/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">EMAS 2026 builds on the long-standing tradition of the Workshop on Engineering Multi-</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Agent Systems, advancing the design, implementation, and deployment of autonomous
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">agents and Multi-Agent Systems (MAS) through research on theories, architectures,
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">languages, platforms, and methodologies. To engage with emerging augmented language</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">models and agentic systems and build on decades of established MAS engineering
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">approaches, this 14th edition focuses on Hybrid Agent Architectures and Multi-Agent
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Systems. We invite contributions covering the diversity of approaches to engineering
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">agents and MAS: submissions may focus on established or emerging approaches, as well</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">as hybrid approaches that integrate the two, exploring, among others, questions such as</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">how elements from different agent architectures can be combined to create more capable</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">agents, and how MAS can be designed to ensure interoperability, coordination, and
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">governance among heterogeneous agents.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>8th International Workshop on EXplainable, Trustworthy, & Responsible AI &
</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Multi\u2011Agent Systems (EXTRAAMAS 2026)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://extraamas.ehealth.hevs.ch/index.html">https://extraamas.ehealth.hevs.ch/index.html</a></u></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi-</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">forum. It aims to discuss and disseminate research on explainable artificial intelligence,
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">with a particular focus on intra/inter-agent(ic) explainability and cross-disciplinary
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">perspectives. In its 8th edition, EXTRAAMAS 2026 identifies four particular focus topics
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">with the ultimate goal of strengthening cutting-edge foundational and applied research.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>The 8th Games, Agents, and Incentives Workshop (GAIW-26)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://gtep-workshops.github.io/gaiw2026/">https://gtep-workshops.github.io/gaiw2026/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Games, Agents and Incentives is a confederated workshop which focuses on agents and
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">incentives in AI. In particular, it promotes approaches that deal with game theory
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">(cooperative and non-cooperative), social choice, and agent-mediated e-commerce
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">aspects of AI systems. The confederated workshop merges multiple workshops that have
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">been associated with AAMAS in the past, which considered different aspects of the general
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">interplay between AI and economics including CoopMAS, AMEC, and EXPLORE.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>27th International Workshop on Multi-Agent-Based Simulation (MABS 2026)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://mabsworkshop.github.io/">https://mabsworkshop.github.io/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">MABS focuses on the confluence of social sciences and multi-agent systems, with a strong</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">application/empirical vein, and it emphasizes, (i) exploratory agent-based simulation as a</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">principled way of undertaking scientific research in the social sciences and (ii) using social
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">theories as an inspiration for new frameworks and developments in multi-agent systems.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">MABS 2026 continues its tradition of fostering cross-fertilisation and innovation in MAS
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">engineering and complex social and sociotechnical systems modeling. The workshop
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">encourages submissions in areas such as simulation methodology and tools, simulation</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">of social and intelligent behaviour, diverse applications, and simulation analytics.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>International Workshop on Autonomous Agents and Multi-Agent Systems for Space</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Applications (MASSpace)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://mas-space.github.io/aamas2026ws/">https://mas-space.github.io/aamas2026ws/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">This workshop aims at disseminating and sharing recent advances in the use of agent-</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">based and multi-agent-based models and techniques in the Space domain. Indeed, the</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">use of agent-based and multi-agent systems (MAS) in aerospace and space is gaining
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">traction, as they offer a promising approach for modeling and solving distributed,</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">complex and dynamic problems. Sample applications notably include multiple spacecraft
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">operations and maintenance, onboard-ground coordination, mission simulation, multi-</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">mission operation, autonomous navigation, and collective robotics.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>NEurosymbolic eXplainable trUstworthy Systems (NEXUS)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://nexus.telecom-paris.fr/">https://nexus.telecom-paris.fr/</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The opacity of current deep learning models is a major barrier to adoption where
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">accountability is essential. NEXUS focuses on neurosymbolic reasoning as a foundational
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">approach to building theory, applications, and tools for well-calibrated and trustworthy
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">autonomy. This paradigm moves beyond a narrow focus on formal logic, concerning itself
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">with the integration of deep and reinforcement learning algorithms with a broad spectrum</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">of structured knowledge.</span></div>
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<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Workshop on Optimization and Learning in Multi-Agent Systems (OptLearnMAS)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://optlearnmas.github.io">https://optlearnmas.github.io</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The goal of the workshop is to provide researchers with a venue to discuss models or
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">techniques for tackling a variety of multi-agent optimization problems. We seek
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">contributions in the general area of multi-agent optimization, including distributed
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">optimization, coalition formation, optimization under uncertainty, winner determination
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">algorithms in auctions and procurements, and algorithms to compute Nash and other
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">equilibria in games. Of particular emphasis are contributions at the intersection of
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">optimization and learning. This workshop invites works from different strands of the
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">multi-agent systems community that pertain to the design of algorithms, models, and
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">techniques to deal with multi-agent optimization and learning problems or problems that
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">can be effectively solved by adopting a multi-agent framework.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Rebellion and Disobedience in Artificial Intelligence (RaD-AI)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://sites.google.com/view/rad-ai/home">https://sites.google.com/view/rad-ai/home</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Should intelligent autonomous agents always obey human commands or instructions? In
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">some contexts, they should not. Most existing research on collaborative robots and agents
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">assumes that a \u201cgood\u201d agent complies with the instructions it is given and works in a
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">predictable manner under the consent of the human operator(s) it serves (e.g., it should
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">never deceive its operator). Our RaD-AI workshop challenges this assumption; we will
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">reconsider the desired abilities and responsibilities of collaborative agents. For example,
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">these include exhibiting behavior that attempts appropriate and harm-preventing non-</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">compliance (e.g., safety constraints in autonomous vehicles or training LLMs to avoid
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">potentially harmful or norm-violating output), among others. Our agenda will include
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">accepted submissions that describe novel (and/or survey existing) contributions, or
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">propose new directions, related to RaD-AI in the context of intelligent social agents,
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">human-agent interaction, and their societal effects, along with invited talks and other
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">events. We warmly welcome participation from AAMAS-26 conference attendees!</span></div>
<br>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Strategic Engineering Workshop (SE)</b></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #084FD1;"><u><a href="https://sites.google.com/view/se-aamas2026">https://sites.google.com/view/se-aamas2026</a></u></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">
</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Real-world interactions are messy; Game Theory is rigorous. Historically, connecting the</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">two required expensive manual modeling. \u201cStrategic Engineering\u201d seeks to automate this
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">pipeline. We ask: How can LLMs serve as architects, translating everyday scenarios into the
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">formal structures that Game Theory (GT) and Multi-Agent Systems (MAS) require? If we can</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">automate the creation of the \u201cworld model\u201d, we can unlock the full power of classical GT/</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">MAS reasoning for any situation. We invite submissions that fuse the generative capabilities</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">of LLMs with the reasoning power of GT/MAS, creating a new class of agents capable of
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">navigating complex, strategic environments.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Organizing Committee</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>AAMAS 2026 General Chairs</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">\u2022
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Viviana Mascardi, University of Genova, Italy</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">\u2022
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">John Thangarajah, RMIT University, Australia</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>AAMAS 2026 Program Chairs</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">\u2022
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Chris Amato, Northeastern University, United States of America</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">\u2022
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Louise Dennis, University of Manchester, United Kingdom</span></div>
<br>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>AAMAS 2026 Local Chairs</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">\u2022
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">George A. Papadopoulos, University of Cyprus, Cyprus (Chair)</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">\u2022
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair)</span></div>
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