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PRIMA 2026: International Conference on Principles and Practice of Multi-Agent Systems

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截稿日期:
2026-07-13 已截稿
通知日期:
2026-09-25
会议日期:
2026-12-14
会议地点:
Kumamoto, Japan
届数:
ICORE: B   浏览: 13262   关注: 0   参加: 0
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55

用到的输入: 收录等级：ICORE B · 有据可查的届次：27 · 过去 24 个月打开过本页的研究者：5 人

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征稿

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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