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EUMAS 2026: European Conference on Multi-Agent Systems

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EUMAS
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截稿日期:
2026-05-24 Extended
通知日期:
2026-06-30
会议日期:
2026-09-21
会议地点:
Malmo, Sweden
届数:
23
ICORE: C   浏览: 1069   关注: 0   参加: 0

会伴指数 (CP-I)

53.2 / 100
全站第 1,037 名 / 共 5,687 个会议 · 前 19%

人工智能与机器学习 第 88 / 741

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
86
社区关注 (10%)
5
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C · 有据可查的届次：23 · 过去 24 个月打开过本页的研究者：1 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-29

征稿

EUMAS 2026 (European Conference on Multi-Agent Systems) is a ICORE C conference held in Malmo, Sweden on 2026-09-21. The paper submission deadline is 2026-05-24 (extended). Acceptance notifications are sent on 2026-06-30.

EUMAS 2026 welcomes original, unpublished papers including improved versions of extended abstracts or (revised) rejected papers from AAMAS, AAAI and IJCAI-ECAI 2026. The submission should describe work that has not been previously published, accepted for publication, nor is currently under review by another conference or journal. All submissions will be peer-reviewed in a single blind fashion. Submission length depends upon the track that you submit to. Additional pages may be used for references and, if needed, a clearly marked appendix. It should be formatted according to Springer’s LNCS format. For templates and instructions for authors, see Conference proceedings guidelines. Authors must submit their papers through the OpenReview submission site as a single PDF file. This year, EUMAS is accepting submissions across the following tracks: 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). Agent Toolkits Community Session (15 pages + reference) This track aims to provide a forum for researchers that are involved in developing agent / MAS toolkits and platforms, or that are using them for the development of applications, to exchange ideas, make proposals, suggest challenges, reports interesting use cases and so on - any aspect that could be of interest in the engineering and using Agent Toolkits. Demonstrators (5 pages + references) This track aims to provide opportunities for participants from academia and industry to present their latest developments in agent-based systems. Demonstrations of interest include both applications of multi-agent systems and tools that support developers in the specification, design, implementation and testing of agent systems.
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