Main Track (15 pages + references)
Engineering Multi-Agent Systems (Agent Architectures, Autononous Agents, Agentic AI, Agent Programming Languages, Agent Development Methodologies and Tools, Agent-oriented Software Engineering, Action and Planning, Biologically Inspired Approaches, Semantic Web Agents, Socio-technical Systems)
Coordination, Organizations, Institutions, Norms and Ethics (Agent Organizations and Institutions, Communication, Cooperation and Coordination, Collective Intentionality, Trust and Reputation, Negotiation, Computational Social Choice, Ethical Behavior of Multi-Agent Systems, Electronic Commerce, Applications of Multi-Agent Systems, Argumentation, Automated Negotiation, Economic Models, Voting and Judgment, Aggregation Models, Game-Theoretic Methods, Self-organization, Theories of Agency, Emergent Behaviour)
Multi-Agent Based Simulation (Agent-Based Simulations and Modeling, Agents and Complex Systems, Social Networks)
Knowledge Representation, Reasoning and Verification for MAS (Logics for Multi-Agent Systems, Logics for Strategic Reasoning, Verification, Formal Modelling)
Learning in Multi-Agent Systems (Adaptation and Learning, Cognitive Models, Deep Reinforcement Learning in Multi-Agent Domains, Use of Machine Learning in Agents and Multi-Agent Systems)
Explainable MAS (Multi-agent Architectures for Explainable Planning, XAI, Explainable Negotiation Protocols and Strategies, Explainable User/Agent Profiling)
MAS for Robotic Systems and Control (Machine Learning for Multi-Agent Systems, Multi-Robot Systems, Collective and Swarm Intelligence)
Human-Centric MAS (Human-Agent Interaction, Virtual Agents, LLM-Powered AI Agents).