PRIMA 2026 (International Conference on Principles and Practice of Multi-Agent Systems) is a ICORE B conference held in Kumamoto, Japan on 2026-12-14. The paper submission deadline is 2026-07-13. Acceptance notifications are sent on 2026-09-25.
Scope and Background
The vision for PRIMA 2026 is to chart a path "Beyond Traditional MAS" by fusing the rigorous foundations of conventional Multi-Agent Systems with the flexibility, adaptability, and context-awareness of Generative and Agentic AI (GAAI). As advanced AI models proliferate, the MAS community is at a critical juncture. Research is shifting from static agent design to the engineering of "Next-Generation Agent Systems"—complex ecosystems where LLM-based agents, traditional MAS components, and humans effectively coexist. PRIMA 2026 invites contributions that explore these new AI-driven possibilities while advancing the foundational disciplines essential for building robust, reliable, and beneficial agent societies.
Areas of Interest
We welcome submissions on all aspects of MAS, including but not limited to:
Foundations of MAS
Logic and Reasoning:
Logics of agency, belief, knowledge, and intention
Norms, obligations, and deontic logic
Argumentation theory
Reasoning under uncertainty
Collaboration & Coordination:
Multi-agent planning, teamwork, and coalition formation
Distributed problem-solving and optimization
Negotiation, trust and reputation, and commitments
Institutions, organizations, and normative systems
Algorithmic Game Theory:
Auctions and mechanism design
Cooperative games (theory, analysis, computation)
Noncooperative games (theory, analysis, computation)
Behavioral game theory
Computational Social Choice:
Voting theory and aggregation rules
Fair division and resource allocation
Matching theory (preference-based)
Participatory budgeting, communication, and distortion
Systems and Learning
Generative and Agentic AI:
Agents embodied with Large Language Models (LLMs)
LLM-based planning, reasoning, and agentic workflows
Coordination and cooperation of generative agents
Modeling and analysis of generative MAS
Verification, safety, and evaluation of agentic systems
Agent and Multi-Agent Learning:
Reinforcement learning (multi-agent, distributed)
Evolutionary approaches
Machine learning in MAS
Learning for value alignment
Engineering Multi-Agent Systems:
Agent-oriented software engineering
Interaction protocols, formal specification, and verification
Agent programming languages, middleware, and platforms
Testing, debugging, and deployed system case studies
Agent-Based Modeling and Simulation:
Simulation languages and platforms
Artificial societies and virtual environments
Modeling emergent behavior
System dynamics
Application case studies (e.g., economics, society, ecology)
Interaction and Society
Human-Agent Interaction:
Adaptive personal assistants
Embodied conversational agents
Virtual characters and multimodal user interfaces
Human-robot interaction
Affective computing
Decentralized Paradigms & Applications:
Cloud, edge, IoT, and cybersecurity
Robotics and multi-robot systems
Smart cities, transport, and logistics
Energy management
Healthcare, e-business, e-learning
Games and entertainment
Sustainability and resource management
Ethics, Society, and Governance:
Explainable AI (XAI) and agent transparency
Ethics, fairness, and accountability of AI systems
AI and Democracy (e.g., deliberation, opinion formation, countering misinformation)
Multi-agent systems for social good
Governance and regulation of agent societies
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